{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\ev42\Dropbox\Liss\Replication\ReplicationLog.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}15 Jan 2024, 18:49:05

{com}. do "C:\Users\ev42\AppData\Local\Temp\STD4790_000000.tmp"
{txt}
{com}. *This file performs all of the analysis reported in the article and produces the tables and graphs in both the appendix and the article.
. 
. *IMPORTANT: Packages to install if not installed (ssc install): did_multiplegt, twowayfeweights, lgraph, estout, plotplainblind, coefplot
. *IMPORTANT: Overleaf output directory: change to your own directory
. 
. cd "C:\Users\ev42\Dropbox\Apps\Overleaf\EnergyTransition\images"
{res}C:\Users\ev42\Dropbox\Apps\Overleaf\EnergyTransition\images
{txt}
{com}. 
. *Change to where data file is located
. use  "C:\Users\ev42\Dropbox\Liss\Data\LisspanelFinal.dta", clear
{txt}
{com}. 
. 
. drop if year<2008 | year>2020
{txt}(12,437 observations deleted)

{com}. 
. *Assign Variable labels
. label define rentGWE 0 "GWE Included" 1 "GWE Not included"
{txt}
{com}. label values rentGWE rentGWE 
{txt}
{com}. 
. label variable leeftijd "Age"
{txt}
{com}. label variable nettohh_f "Hh Income"
{txt}
{com}. label variable oplcat "Education"
{txt}
{com}. 
. gen lninc= ln(nettohh_f+1)
{txt}(6,552 missing values generated)

{com}. label variable lninc "ln(Hh Income)"
{txt}
{com}. *Drop ineligble voters
. drop if leeftijd<18
{txt}(1,758 observations deleted)

{com}. 
. gen respadult=0
{txt}
{com}. replace respadult=1 if positie<5
{txt}(63,291 real changes made)

{com}. label variable respadult "Head of household or partner of head of household"
{txt}
{com}. 
. recode belbezig (1=1) (2=2) (3=2) (4=3) (5=3) (6=3) (7=4) (8=5) (9=6) (10=3) (11=3) (12=3) (else=.), gen(employ)
{txt}(36,421 differences between {bf:belbezig} and {bf:employ})

{com}. 
. label define employ 1 "Employed" 2 "Self-employed" 3 "Unemployed/disability" 4 "Student" 5 "Housekeeper" 6 "Pensioner"
{txt}
{com}. label values employ employ
{txt}
{com}. 
. label define educ 1 "primary school" 2 "junior high (vmbo)" 3 "have/vwo (HS)" 4 "mbo (vocational)" 5 "hbo (higher vocational)" 6 "college"
{txt}
{com}. label values oplcat educ
{txt}
{com}. 
. *Create price concern variables
. gen price1=0
{txt}
{com}. replace price1=1 if goal1==3
{txt}(10,406 real changes made)

{com}. replace price1=. if goal1==.
{txt}(1,848 real changes made, 1,848 to missing)

{com}. 
. gen price2=0 
{txt}
{com}. replace price2=1 if goal2==3 | goal1==3
{txt}(24,418 real changes made)

{com}. replace price2=. if goal1==.
{txt}(1,848 real changes made, 1,848 to missing)

{com}. label variable price1 "Preventing price increases 1st priority"
{txt}
{com}. label variable price2 "Preventing price increases 1st or 2nd priority"
{txt}
{com}. 
. bysort nomem_encr: egen price2013 = total(cond(year == 2013, price1, .))
{txt}
{com}. bysort nomem_encr: egen price2012 = total(cond(year == 2012, price1, .))
{txt}
{com}. bysort nomem_encr: egen price2011 = total(cond(year == 2011, price1, .))
{txt}
{com}. 
. gen pricesens=0
{txt}
{com}. replace pricesens=1 if price2013==1 | price2012==1 |price2011==1
{txt}(18,180 real changes made)

{com}. label variabl pricesens "Price sensitive"
{txt}
{com}. *Create energy poverty variable
. 
. gen GWEspending=GWEmonthly/nettohh_f
{txt}(6,902 missing values generated)

{com}. 
. gen energypoor=0
{txt}
{com}. replace energypoor=1 if arrearsutil==1 
{txt}(314 real changes made)

{com}. replace energypoor=1 if heathome==2
{txt}(660 real changes made)

{com}. replace energypoor=1 if arrearsutilb==1
{txt}(204 real changes made)

{com}. replace energypoor=1 if heatadequate==1
{txt}(1,035 real changes made)

{com}. replace energypoor=. if respadult==0
{txt}(6,320 real changes made, 6,320 to missing)

{com}. 
.   gen energypoor2=0
{txt}
{com}.   replace energypoor2=1 if GWEspending>.1 & GWEspending<.5
{txt}(8,964 real changes made)

{com}.   replace energypoor2=0 if respadult==0
{txt}(665 real changes made)

{com}.    replace energypoor2=0 if rentGWE==0
{txt}(637 real changes made)

{com}. replace energypoor2=0 if employ==4 
{txt}(366 real changes made)

{com}. 
. 
. tab energypoor

 {txt}energypoor {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}     61,109       96.55       96.55
{txt}          1 {c |}{res}      2,182        3.45      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     63,291      100.00
{txt}
{com}. tab energypoor2

{txt}energypoor2 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}     62,315       89.52       89.52
{txt}          1 {c |}{res}      7,296       10.48      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     69,611      100.00
{txt}
{com}. tab energypoor energypoor2, row col
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}      energypoor2
energypoor {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}    54,332      6,777 {txt}{c |}{res}    61,109 
           {txt}{c |}{res}     88.91      11.09 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     97.03      92.89 {txt}{c |}{res}     96.55 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}     1,663        519 {txt}{c |}{res}     2,182 
           {txt}{c |}{res}     76.21      23.79 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      2.97       7.11 {txt}{c |}{res}      3.45 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}    55,995      7,296 {txt}{c |}{res}    63,291 
           {txt}{c |}{res}     88.47      11.53 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 
{txt}
{com}. gen energypoorm=max(energypoor, energypoor2)
{txt}
{com}. 
. *Income 
. egen incquart=xtile(nettohh_f), n(4) by(year)
{txt}(6,361 missing values generated)

{com}. 
. *Owners who pay service costs
. 
. gen ownservice=99
{txt}
{com}. replace ownservice=0 if service==2
{txt}(10,637 real changes made)

{com}. replace ownservice=1 if service==1
{txt}(3,454 real changes made)

{com}. replace ownservice=99 if service>2 | service<1
{txt}(0 real changes made)

{com}. replace ownservice=99 if rentown!=3
{txt}(1 real change made)

{com}. replace ownservice=. if ownservice==99
{txt}(55,521 real changes made, 55,521 to missing)

{com}. 
. label define os 0 "No service costs" 1 "Service costs"
{txt}
{com}. label values ownservice os 
{txt}
{com}. label variable ownservice "Ownership with Housing Association?"
{txt}
{com}. 
. replace service=. if service>2 | service<0
{txt}(11,859 real changes made, 11,859 to missing)

{com}. 
. tab rentGWE year

                 {txt}{c |}                                                                year
         rentGWE {c |}      2008       2009       2010       2011       2012       2013       2015       2016       2017       2018       2019       2020 {c |}     Total
{hline 17}{c +}{hline 132}{c +}{hline 10}
    GWE Included {c |}{res}       220        206        228        217        226        226        360        319        327        313        295        395 {txt}{c |}{res}     3,332 
{txt}GWE Not included {c |}{res}       578        557        666        637        636        624        736        666        734        724        704        835 {txt}{c |}{res}     8,097 
{txt}{hline 17}{c +}{hline 132}{c +}{hline 10}
           Total {c |}{res}       798        763        894        854        862        850      1,096        985      1,061      1,037        999      1,230 {txt}{c |}{res}    11,429 
{txt}
{com}. tab energypoor year

           {txt}{c |}                                                                year
energypoor {c |}      2008       2009       2010       2011       2012       2013       2015       2016       2017       2018       2019       2020 {c |}     Total
{hline 11}{c +}{hline 132}{c +}{hline 10}
         0 {c |}{res}     5,167      5,515      4,650      5,140      4,886      4,885      5,202      4,801      5,439      4,840      5,157      5,427 {txt}{c |}{res}    61,109 
{txt}         1 {c |}{res}       136        126        149        126        197        181        235        193        186        217        225        211 {txt}{c |}{res}     2,182 
{txt}{hline 11}{c +}{hline 132}{c +}{hline 10}
     Total {c |}{res}     5,303      5,641      4,799      5,266      5,083      5,066      5,437      4,994      5,625      5,057      5,382      5,638 {txt}{c |}{res}    63,291 
{txt}
{com}. tab energypoor heathome

           {txt}{c |}                 Able to heat home well
energypoor {c |}         1          2          3          4          5 {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}    32,151          0        553        316        357 {txt}{c |}{res}    33,377 
{txt}         1 {c |}{res}       643        693         48        155         28 {txt}{c |}{res}     1,567 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}    32,794        693        601        471        385 {txt}{c |}{res}    34,944 
{txt}
{com}. tab energypoor arrearsutil

           {txt}{c |}            Are you in arrears on utilities?
energypoor {c |}        -9         -8          1          2         98 {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}        61         72          0     48,633        593 {txt}{c |}{res}    49,359 
{txt}         1 {c |}{res}        12         10        308      1,698         61 {txt}{c |}{res}     2,089 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}        73         82        308     50,331        654 {txt}{c |}{res}    51,448 
{txt}
{com}. tab energypoor heatadequate

           {txt}{c |}     heatadequate
energypoor {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}    36,516          0 {txt}{c |}{res}    36,516 
{txt}         1 {c |}{res}       756      1,146 {txt}{c |}{res}     1,902 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}    37,272      1,146 {txt}{c |}{res}    38,418 
{txt}
{com}.  
.   sort nomem_encr year
{txt}
{com}.   xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.    gen le=l1.energypoorm
{txt}(20,504 missing values generated)

{com}.     gen le2=l2.energypoorm
{txt}(29,541 missing values generated)

{com}.          gen le3=l3.energypoorm
{txt}(36,572 missing values generated)

{com}.  egen epov=rowmax(energypoorm le le2 le3)
{txt}
{com}.  
. label define poor 0 "Not energy poor" 1 "Energy poor"
{txt}
{com}. label values epov poor 
{txt}
{com}. label variable epov "Energy Poverty"
{txt}
{com}. 
. gen Post=Paris
{txt}(1 missing value generated)

{com}. label define postv 0 "Before" 1 "After"
{txt}
{com}. label values Post postv
{txt}
{com}. label variable Post "Post policy change"
{txt}
{com}. 
. gen renter=1
{txt}
{com}. replace renter=0 if rentown==3
{txt}(26,033 real changes made)

{com}. label define rent 0 "Owner" 1 "Renter"
{txt}
{com}. label values renter rent 
{txt}
{com}. label variable renter "Own or Rent"
{txt}
{com}. 
. gen multi=0
{txt}
{com}. replace multi=1 if dwelling==5 | dwelling==9
{txt}(9,839 real changes made)

{com}. 
. label variable PVVsympmean "Relative sympathy PVV"
{txt}
{com}. label variable GL "Sympathy Green Left"
{txt}
{com}. label variable VVD "Sympathy VVD"
{txt}
{com}. label variable PVDA "Sympathy PvdA"
{txt}
{com}. label variable CDA "Sympathy CDA"
{txt}
{com}. label variable leftright "Left-Right self-placement"
{txt}
{com}. label variable rentGWE "Utilities not included"
{txt}
{com}. label variable oplcat "Education"
{txt}
{com}. label variable employ "Employment status"
{txt}
{com}. label variable EU "Opposition to EU Integration"
{txt}
{com}. label variable immigration "Immigrants must adapt"
{txt}
{com}. label variable extremeright "Vote for the radical right"
{txt}
{com}. 
.  tabulate oplcat, generate(deduc)

              {txt}Education {c |}      Freq.     Percent        Cum.
{hline 24}{c +}{hline 35}
         primary school {c |}{res}      4,934        7.14        7.14
{txt}     junior high (vmbo) {c |}{res}     15,860       22.94       30.08
{txt}          have/vwo (HS) {c |}{res}      7,758       11.22       41.30
{txt}       mbo (vocational) {c |}{res}     16,544       23.93       65.23
{txt}hbo (higher vocational) {c |}{res}     16,794       24.29       89.52
{txt}                college {c |}{res}      7,247       10.48      100.00
{txt}{hline 24}{c +}{hline 35}
                  Total {c |}{res}     69,137      100.00
{txt}
{com}.  
.  tabulate employ, generate(status)

    {txt}Employment status {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
             Employed {c |}{res}     32,131       46.77       46.77
{txt}        Self-employed {c |}{res}      4,269        6.21       52.98
{txt}Unemployed/disability {c |}{res}      6,558        9.55       62.53
{txt}              Student {c |}{res}      4,751        6.92       69.44
{txt}          Housekeeper {c |}{res}      5,792        8.43       77.87
{txt}            Pensioner {c |}{res}     15,203       22.13      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}     68,704      100.00
{txt}
{com}.  
. foreach i of varlist status1-status6 {c -(}
{txt}  2{com}. local a : variable label `i'
{txt}  3{com}. local a: subinstr local a "employ==" ""
{txt}  4{com}. label var `i' "`a'"
{txt}  5{com}. {c )-}
{txt}
{com}. 
. foreach i of varlist deduc1-deduc6 {c -(}
{txt}  2{com}. local a : variable label `i'
{txt}  3{com}. local a: subinstr local a "oplcat==" ""
{txt}  4{com}. label var `i' "`a'"
{txt}  5{com}. {c )-}
{txt}
{com}.   
.   
.   
.   *Summary tables
.   
.              xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                   bysort nomem_encr (year) : egen minyrs = min(year)
{txt}
{com}.  bysort nomem_encr (year) : egen maxyrs = max(year)
{txt}
{com}.  gen includes=0
{txt}
{com}.  replace includes=1 if minyrs<2015 & maxyrs>2014
{txt}(47,304 real changes made)

{com}.   
.   est clear
{res}{txt}
{com}. eststo grp1: estpost summ extremeright PVVsympmean GL immigration EU leftright rentGWE epov status1-status6   lninc deduc1-deduc6 status1-status6  if includes==1

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:extremeright}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    36155}}}{space 1}{space 1}{ralign 9:{res:{sf:    36155}}}{space 1}{space 1}{ralign 9:{res:{sf:   .13987}}}{space 1}{space 1}{ralign 9:{res:{sf: .1203097}}}{space 1}{space 1}{ralign 9:{res:{sf: .3468569}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     5057}}}{space 1}
{space 0}{space 0}{ralign 12:PVVsympmean}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    38717}}}{space 1}{space 1}{ralign 9:{res:{sf:    38717}}}{space 1}{space 1}{ralign 9:{res:{sf:-2.053515}}}{space 1}{space 1}{ralign 9:{res:{sf: 11.78756}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.433301}}}{space 1}{space 1}{ralign 9:{res:{sf:      -10}}}{space 1}{space 1}{ralign 9:{res:{sf:       10}}}{space 1}{space 1}{ralign 9:{res:{sf:-79505.95}}}{space 1}
{space 0}{space 0}{ralign 12:GL}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    37928}}}{space 1}{space 1}{ralign 9:{res:{sf:    37928}}}{space 1}{space 1}{ralign 9:{res:{sf: 4.890819}}}{space 1}{space 1}{ralign 9:{res:{sf: 5.208081}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.282122}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:       10}}}{space 1}{space 1}{ralign 9:{res:{sf:   185499}}}{space 1}
{space 0}{space 0}{ralign 12:immigration}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    45093}}}{space 1}{space 1}{ralign 9:{res:{sf:    45093}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.704411}}}{space 1}{space 1}{ralign 9:{res:{sf: .9098087}}}{space 1}{space 1}{ralign 9:{res:{sf: .9538389}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:        5}}}{space 1}{space 1}{ralign 9:{res:{sf:   167043}}}{space 1}
{space 0}{space 0}{ralign 12:EU}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    42945}}}{space 1}{space 1}{ralign 9:{res:{sf:    42945}}}{space 1}{space 1}{ralign 9:{res:{sf:  3.55932}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.339957}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.157565}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:        5}}}{space 1}{space 1}{ralign 9:{res:{sf:   152855}}}{space 1}
{space 0}{space 0}{ralign 12:leftright}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    40442}}}{space 1}{space 1}{ralign 9:{res:{sf:    40442}}}{space 1}{space 1}{ralign 9:{res:{sf:  5.24393}}}{space 1}{space 1}{ralign 9:{res:{sf: 4.664886}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.159835}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:       10}}}{space 1}{space 1}{ralign 9:{res:{sf:   212075}}}{space 1}
{space 0}{space 0}{ralign 12:rentGWE}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     7541}}}{space 1}{space 1}{ralign 9:{res:{sf:     7541}}}{space 1}{space 1}{ralign 9:{res:{sf: .7276223}}}{space 1}{space 1}{ralign 9:{res:{sf: .1982144}}}{space 1}{space 1}{ralign 9:{res:{sf: .4452127}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     5487}}}{space 1}
{space 0}{space 0}{ralign 12:epov}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    47304}}}{space 1}{space 1}{ralign 9:{res:{sf:    47304}}}{space 1}{space 1}{ralign 9:{res:{sf: .1944444}}}{space 1}{space 1}{ralign 9:{res:{sf: .1566391}}}{space 1}{space 1}{ralign 9:{res:{sf: .3957766}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     9198}}}{space 1}
{space 0}{space 0}{ralign 12:status1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    46912}}}{space 1}{space 1}{ralign 9:{res:{sf:    46912}}}{space 1}{space 1}{ralign 9:{res:{sf: .4634422}}}{space 1}{space 1}{ralign 9:{res:{sf: .2486688}}}{space 1}{space 1}{ralign 9:{res:{sf: .4986671}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:    21741}}}{space 1}
{space 0}{space 0}{ralign 12:status2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    46912}}}{space 1}{space 1}{ralign 9:{res:{sf:    46912}}}{space 1}{space 1}{ralign 9:{res:{sf:  .060006}}}{space 1}{space 1}{ralign 9:{res:{sf: .0564065}}}{space 1}{space 1}{ralign 9:{res:{sf: .2375004}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     2815}}}{space 1}
{space 0}{space 0}{ralign 12:status3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    46912}}}{space 1}{space 1}{ralign 9:{res:{sf:    46912}}}{space 1}{space 1}{ralign 9:{res:{sf: .0970967}}}{space 1}{space 1}{ralign 9:{res:{sf: .0876708}}}{space 1}{space 1}{ralign 9:{res:{sf: .2960925}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     4555}}}{space 1}
{space 0}{space 0}{ralign 12:status4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    46912}}}{space 1}{space 1}{ralign 9:{res:{sf:    46912}}}{space 1}{space 1}{ralign 9:{res:{sf: .0412048}}}{space 1}{space 1}{ralign 9:{res:{sf: .0395078}}}{space 1}{space 1}{ralign 9:{res:{sf: .1987657}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1933}}}{space 1}
{space 0}{space 0}{ralign 12:status5}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    46912}}}{space 1}{space 1}{ralign 9:{res:{sf:    46912}}}{space 1}{space 1}{ralign 9:{res:{sf: .0905312}}}{space 1}{space 1}{ralign 9:{res:{sf: .0823371}}}{space 1}{space 1}{ralign 9:{res:{sf: .2869444}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     4247}}}{space 1}
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{com}. eststo grp2: estpost summ  extremeright PVVsympmean GL immigration EU leftright rentGWE epov status1-status6   lninc deduc1-deduc6 status1-status6   if includes==1 & rentGWE<3  // renter only

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{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
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{space 0}{space 0}{ralign 12:status6}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     7465}}}{space 1}{space 1}{ralign 9:{res:{sf:     7465}}}{space 1}{space 1}{ralign 9:{res:{sf:  .309712}}}{space 1}{space 1}{ralign 9:{res:{sf: .2138191}}}{space 1}{space 1}{ralign 9:{res:{sf: .4624058}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     2312}}}{space 1}

{com}. esttab grp*,  cells("mean(fmt(%6.2fc)) sd  count(fmt(0))")  mtitle("All" "renter")
{res}
{txt}{hline 90}
{txt}                      (1)                                    (2)                          
{txt}                      All                                 renter                          
{txt}                     mean           sd        count         mean           sd        count
{txt}{hline 90}
{txt}extremeright{res}         0.14         0.35        36155         0.15         0.36         5808{txt}
{txt}PVVsympmean {res}        -2.05         3.43        38717        -1.78         3.63         6281{txt}
{txt}GL          {res}         4.89         2.28        37928         5.11         2.35         6174{txt}
{txt}immigration {res}         3.70         0.95        45093         3.67         1.02         7196{txt}
{txt}EU          {res}         3.56         1.16        42945         3.64         1.18         6813{txt}
{txt}leftright   {res}         5.24         2.16        40442         4.62         2.25         6427{txt}
{txt}rentGWE     {res}         0.73         0.45         7541         0.73         0.45         7541{txt}
{txt}epov        {res}         0.19         0.40        47304         0.36         0.48         7541{txt}
{txt}status1     {res}         0.46         0.50        46912         0.36         0.48         7465{txt}
{txt}status2     {res}         0.06         0.24        46912         0.04         0.19         7465{txt}
{txt}status3     {res}         0.10         0.30        46912         0.17         0.38         7465{txt}
{txt}status4     {res}         0.04         0.20        46912         0.04         0.20         7465{txt}
{txt}status5     {res}         0.09         0.29        46912         0.08         0.26         7465{txt}
{txt}status6     {res}         0.25         0.43        46912         0.31         0.46         7465{txt}
{txt}lninc       {res}         7.84         0.83        43260         7.41         0.90         7172{txt}
{txt}deduc1      {res}         0.06         0.25        47203         0.11         0.31         7516{txt}
{txt}deduc2      {res}         0.24         0.43        47203         0.31         0.46         7516{txt}
{txt}deduc3      {res}         0.10         0.30        47203         0.09         0.29         7516{txt}
{txt}deduc4      {res}         0.25         0.43        47203         0.22         0.42         7516{txt}
{txt}deduc5      {res}         0.25         0.43        47203         0.19         0.39         7516{txt}
{txt}deduc6      {res}         0.10         0.29        47203         0.08         0.28         7516{txt}
{txt}status1     {res}         0.46         0.50        46912         0.36         0.48         7465{txt}
{txt}status2     {res}         0.06         0.24        46912         0.04         0.19         7465{txt}
{txt}status3     {res}         0.10         0.30        46912         0.17         0.38         7465{txt}
{txt}status4     {res}         0.04         0.20        46912         0.04         0.20         7465{txt}
{txt}status5     {res}         0.09         0.29        46912         0.08         0.26         7465{txt}
{txt}status6     {res}         0.25         0.43        46912         0.31         0.46         7465{txt}
{txt}{hline 90}
{txt}N           {res}        47304                                   7541                          {txt}
{txt}{hline 90}

{com}. 
.  
. esttab grp* using "summarytable.tex", replace ///
>    cells("mean(fmt(%6.2fc)) sd  count(fmt(0))")  nostar nonumber unstack ///
>    compress nonote  gap label booktabs    ///
>     mtitle("All" "renter")
{res}{txt}(output written to {browse  `"summarytable.tex"'})

{com}. 
.         
.           *Summary tables
.   est clear
{res}{txt}
{com}. eststo grp1: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6  lninc deduc1-deduc6 status1-status6 if rentGWE==0 & Post==0 & includes==1

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{com}. eststo grp2: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6   lninc deduc1-deduc6 status1-status6 if rentGWE==1 & Post==0 & includes==1

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{com}. eststo grp3: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6  lninc deduc1-deduc6 status1-status6 if rentGWE==0 & Post==1 & includes==1

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{com}. eststo grp4: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6   lninc deduc1-deduc6 status1-status6 if rentGWE==1 & Post==1 & includes==1

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{space 0}{space 0}{ralign 12:status4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2849}}}{space 1}{space 1}{ralign 9:{res:{sf:     2849}}}{space 1}{space 1}{ralign 9:{res:{sf:  .016146}}}{space 1}{space 1}{ralign 9:{res:{sf: .0158909}}}{space 1}{space 1}{ralign 9:{res:{sf: .1260591}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       46}}}{space 1}
{space 0}{space 0}{ralign 12:status5}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2849}}}{space 1}{space 1}{ralign 9:{res:{sf:     2849}}}{space 1}{space 1}{ralign 9:{res:{sf: .0873991}}}{space 1}{space 1}{ralign 9:{res:{sf: .0797885}}}{space 1}{space 1}{ralign 9:{res:{sf: .2824686}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      249}}}{space 1}
{space 0}{space 0}{ralign 12:status6}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2849}}}{space 1}{space 1}{ralign 9:{res:{sf:     2849}}}{space 1}{space 1}{ralign 9:{res:{sf: .3745174}}}{space 1}{space 1}{ralign 9:{res:{sf: .2343364}}}{space 1}{space 1}{ralign 9:{res:{sf:  .484083}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1067}}}{space 1}
{space 0}{space 0}{ralign 12:lninc}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2739}}}{space 1}{space 1}{ralign 9:{res:{sf:     2739}}}{space 1}{space 1}{ralign 9:{res:{sf: 7.506179}}}{space 1}{space 1}{ralign 9:{res:{sf: .4937573}}}{space 1}{space 1}{ralign 9:{res:{sf: .7026786}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 12.12234}}}{space 1}{space 1}{ralign 9:{res:{sf: 20559.43}}}{space 1}
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{space 0}{space 0}{ralign 12:deduc2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2862}}}{space 1}{space 1}{ralign 9:{res:{sf:     2862}}}{space 1}{space 1}{ralign 9:{res:{sf: .3389238}}}{space 1}{space 1}{ralign 9:{res:{sf: .2241328}}}{space 1}{space 1}{ralign 9:{res:{sf: .4734266}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      970}}}{space 1}
{space 0}{space 0}{ralign 12:deduc3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2862}}}{space 1}{space 1}{ralign 9:{res:{sf:     2862}}}{space 1}{space 1}{ralign 9:{res:{sf: .0698812}}}{space 1}{space 1}{ralign 9:{res:{sf: .0650205}}}{space 1}{space 1}{ralign 9:{res:{sf: .2549913}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      200}}}{space 1}
{space 0}{space 0}{ralign 12:deduc4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2862}}}{space 1}{space 1}{ralign 9:{res:{sf:     2862}}}{space 1}{space 1}{ralign 9:{res:{sf: .2424878}}}{space 1}{space 1}{ralign 9:{res:{sf: .1837517}}}{space 1}{space 1}{ralign 9:{res:{sf: .4286626}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      694}}}{space 1}
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{com}. 
.  
. esttab grp* using "summarytableGWE.tex", replace f ///
>    main(mean %6.2f) aux(sd)    nostar nonumber unstack ///
>    compress nonote gap label booktabs    ///
>    mtitle("Utils Incl, Pre" "Utils Not Incl, Pre" "Utils Incl, Post"  "Utilities Not Incl, Post")
{res}{txt}(output written to {browse  `"summarytableGWE.tex"'})

{com}. 
.  *Summary graphs
.    est clear
{res}{txt}
{com}.  mean extremeright PVVsympmean GL if Post == 0, over(rentGWE)
{res}
{txt}{col 1}Mean estimation{col 52}{lalign 13:Number of obs}{col 65} = {res}{ralign 5:2,904}

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 24}{c |}       Mean{col 36}   Std. err.{col 48}     [95% con{col 61}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
c.extremeright@rentGWE {c |}
{space 9}GWE Included  {c |}{col 24}{res}{space 2}  .145098{col 36}{space 2} .0127421{col 47}{space 5} .1201135{col 61}{space 3} .1700826
{txt}{space 5}GWE Not included  {c |}{col 24}{res}{space 2} .1393174{col 36}{space 2} .0074889{col 47}{space 5} .1246333{col 61}{space 3} .1540016
{txt}{space 22} {c |}
{space 1}c.PVVsympmean@rentGWE {c |}
{space 9}GWE Included  {c |}{col 24}{res}{space 2}-2.085839{col 36}{space 2} .1282241{col 47}{space 5}-2.337258{col 61}{space 3}-1.834419
{txt}{space 5}GWE Not included  {c |}{col 24}{res}{space 2}-1.845598{col 36}{space 2} .0770658{col 47}{space 5}-1.996707{col 61}{space 3}-1.694488
{txt}{space 22} {c |}
{space 10}c.GL@rentGWE {c |}
{space 9}GWE Included  {c |}{col 24}{res}{space 2}  5.23268{col 36}{space 2}   .08184{col 47}{space 5} 5.072209{col 61}{space 3}  5.39315
{txt}{space 5}GWE Not included  {c |}{col 24}{res}{space 2} 5.162225{col 36}{space 2} .0492681{col 47}{space 5} 5.065621{col 61}{space 3} 5.258829
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. eststo Pre
{txt}
{com}. mean extremeright PVVsympmean GL if Post == 1, over(rentGWE)
{res}
{txt}{col 1}Mean estimation{col 52}{lalign 13:Number of obs}{col 65} = {res}{ralign 5:4,545}

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 24}{c |}       Mean{col 36}   Std. err.{col 48}     [95% con{col 61}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
c.extremeright@rentGWE {c |}
{space 9}GWE Included  {c |}{col 24}{res}{space 2} .0977597{col 36}{space 2} .0077408{col 47}{space 5} .0825839{col 61}{space 3} .1129354
{txt}{space 5}GWE Not included  {c |}{col 24}{res}{space 2}  .179362{col 36}{space 2} .0069231{col 47}{space 5} .1657893{col 61}{space 3} .1929346
{txt}{space 22} {c |}
{space 1}c.PVVsympmean@rentGWE {c |}
{space 9}GWE Included  {c |}{col 24}{res}{space 2}-2.719857{col 36}{space 2}  .089563{col 47}{space 5}-2.895444{col 61}{space 3} -2.54427
{txt}{space 5}GWE Not included  {c |}{col 24}{res}{space 2}-1.673611{col 36}{space 2} .0711387{col 47}{space 5}-1.813078{col 61}{space 3}-1.534145
{txt}{space 22} {c |}
{space 10}c.GL@rentGWE {c |}
{space 9}GWE Included  {c |}{col 24}{res}{space 2} 5.662593{col 36}{space 2} .0609063{col 47}{space 5} 5.543187{col 61}{space 3} 5.781999
{txt}{space 5}GWE Not included  {c |}{col 24}{res}{space 2} 5.085938{col 36}{space 2} .0456005{col 47}{space 5} 4.996538{col 61}{space 3} 5.175337
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. eststo Post
{txt}
{com}.   coefplot Pre Post , xtitle("Balance between utilities included (or not) pre and post reform") 
{res}{txt}
{com}.   
. *Graphs with voting for ER by GWE included
. 
. graph drop _all
{txt}
{com}. lgraph extremeright year rentGWE, xline(2014) errortype(ci(95)) xlabel(2008(4)2022) title("Voting for the Radical Right") name(er1) legend(rows(1))
{res}{txt}
{com}. 
. lgraph PVVsympmean year rentGWE, xline(2014)  errortype(ci(95)) xlabel(2008(4)2022) title("Relative Sympathy for PVV") name(er2) 
{res}{txt}
{com}. 
. grc1leg er1 er2, legendfrom(er1) note("Note: Yearly means and 95% confidence intervals", size(vsmall))
{res}{txt}
{com}. graph export er.png, replace
{txt}{p 0 4 2}
file {bf}
er.png{rm}
saved as
PNG
format
{p_end}

{com}. graph drop _all
{txt}
{com}. lgraph GL year rentGWE,  errortype(ci(95)) xlabel(2008(4)2020) title("Sympathy for Green Left") name(glGWE)
{res}{txt}
{com}. lgraph immigration year rentGWE,  errortype(ci(95)) xlabel(2008(4)2020) title("Immigrants should adapt") name(imGWE)
{res}{txt}
{com}. lgraph EU year rentGWE,  errortype(ci(95)) xlabel(2008(4)2020) title("Opposition to EU Integration") name(EUGWE) legend(rows(1))
{res}{txt}
{com}. lgraph leftright year rentGWE,  errortype(ci(95)) xlabel(2008(4)2020) title("Left-Right Placement") name(lrGWE)
{res}{txt}
{com}. lgraph price1 year rentGWE,  errortype(ci(95)) xlabel(2008(4)2020) title("Prevent Price Increases 1st Priority") name(prGWE)
{res}{txt}
{com}. grc1leg EUGWE glGWE imGWE lrGWE, legendfrom(EUGWE) 
{res}{txt}
{com}. graph export OtherGWE.png, replace
{txt}{p 0 4 2}
file {bf}
OtherGWE.png{rm}
saved as
PNG
format
{p_end}

{com}. 
. grc1leg  glGWE  prGWE EUGWE imGWE lrGWE , legendfrom(EUGWE) 
{res}{txt}
{com}. graph export OtherGWEb.png, replace
{txt}{p 0 4 2}
file {bf}
OtherGWEb.png{rm}
saved as
PNG
format
{p_end}

{com}. 
. 
. graph drop _all
{txt}
{com}. lgraph extremeright year renter,  errortype(ci(95)) xlabel(2008(4)2022) title("Voting for the Radical Right") name(er1) legend(rows(1))
{res}{txt}
{com}. 
. lgraph PVVsympmean year renter,  errortype(ci(95)) xlabel(2008(4)2022) title("Relative Sympathy for PVV") name(er2) 
{res}{txt}
{com}. 
. grc1leg er1 er2, legendfrom(er1) 
{res}{txt}
{com}. graph export erRenter.png, replace
{txt}{p 0 4 2}
file {bf}
erRenter.png{rm}
saved as
PNG
format
{p_end}

{com}. 
. *Regressions for pure diff-in-diff
. 
. *Select respondents
.  *Check whether people are consistent in reporting whether they pay GWE separately
. 
. gen deltaGWE=abs(d.rentGWE)
{txt}(62,519 missing values generated)

{com}.  bysort nomem_encr (year) : gen cum_GWE = sum(deltaGWE)
{txt}
{com}.  
.   *Separate panelids by when people change status
.  gen panelidGWE =(nomem_encr +.1*cum_GWE)*10
{txt}(1 missing value generated)

{com}.  bysort panelidGWE (year) : egen minyr = min(year)
{txt}
{com}.  bysort panelidGWE (year) : egen maxyr = max(year)
{txt}
{com}.  gen include=0
{txt}
{com}.  replace include=1 if minyr<2015 & maxyr>2014
{txt}(46,535 real changes made)

{com}.     gen ATET=rentGWE
{txt}(58,182 missing values generated)

{com}.   replace ATET=0 if Paris==0 & rentGWE==1
{txt}(3,698 real changes made)

{com}.   *label variable ATET "GWE#Post"
.   *DiD regressions with no within-person changes
.   
.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.         xtdidregress (extremeright ) (ATET) if include==1, group(panelidGWE ) time(year)  
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidGWE {c |}{col 14}{res}{space 1}      503{col 25}{space 2}      697
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2020{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,325}
{txt}Data type: Longitudinal

{res}{txt}{ralign 78:(Std. err. adjusted for {res:1,200} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET         {txt}{c |}
{space 8}ATET {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0542324{col 26}{space 2} .0178241{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .0192626{col 67}{space 3} .0892022
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for panel effects and time effects.{p_end}

{com}.       xtdidregress (extremeright ) (ATET) if include==1 & multi==1, group(panelidGWE ) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidGWE {c |}{col 14}{res}{space 1}      363{col 25}{space 2}      295
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2020{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,494}
{txt}Data type: Longitudinal

{res}{txt}{ralign 78:(Std. err. adjusted for {res:658} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET         {txt}{c |}
{space 8}ATET {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0771144{col 26}{space 2} .0265762{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4}   .02493{col 67}{space 3} .1292989
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for panel effects and time effects.{p_end}

{com}.           
.            xtdidregress (PVVsympmean) (ATET) if include==1, group(panelidGWE) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidGWE {c |}{col 14}{res}{space 1}      529{col 25}{space 2}      711
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2020{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,744}
{txt}Data type: Longitudinal

{res}{txt}{ralign 78:(Std. err. adjusted for {res:1,240} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET         {txt}{c |}
{space 8}ATET {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2941004{col 26}{space 2} .1448772{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0098687{col 67}{space 3} .5783321
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for panel effects and time effects.{p_end}

{com}.   
.         xtdidregress (extremeright i.oplcat i.employ  lninc ) (ATET) if include==1, group(panelidGWE ) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidGWE {c |}{col 14}{res}{space 1}      476{col 25}{space 2}      664
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2020{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,029}
{txt}Data type: Longitudinal

{res}{txt}{ralign 90:(Std. err. adjusted for {res:1,140} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 20}ATET {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} .0526342{col 38}{space 2} .0190902{col 49}{space 1}    2.76{col 58}{space 3}0.006{col 66}{space 4} .0151783{col 79}{space 3} .0900901
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for covariates,{txt} panel effects, and time effects.{p_end}

{com}.                 
. 
.            xtdidregress (PVVsympmean i.oplcat  i.employ lninc) (ATET) if include==1, group(panelidGWE) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidGWE {c |}{col 14}{res}{space 1}      501{col 25}{space 2}      684
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2020{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,432}
{txt}Data type: Longitudinal

{res}{txt}{ralign 90:(Std. err. adjusted for {res:1,185} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 20}ATET {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} .2695004{col 38}{space 2} .1546577{col 49}{space 1}    1.74{col 58}{space 3}0.082{col 66}{space 4}-.0339334{col 79}{space 3} .5729341
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for covariates,{txt} panel effects, and time effects.{p_end}

{com}.            
. *Identical estimates using xtreg
. 
.                   xtreg  extremeright  ATET  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5325
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1200

{txt}R-sq:  Within  = {res}0.0126                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0093                                        {txt}avg = {res}      4.4
{txt}       Overall = {res}0.0091                                        {txt}max = {res}       12

                                                {txt}F({res}12{txt},{res}1199{txt})         = {res}     3.51
{txt}corr(u_i, Xb)  = {res}0.0250                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,200} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0542324{col 26}{space 2} .0178241{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .0192626{col 67}{space 3} .0892022
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0196128{col 26}{space 2}  .021278{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4}-.0221334{col 67}{space 3}  .061359
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0070654{col 26}{space 2} .0209185{col 37}{space 1}    0.34{col 46}{space 3}0.736{col 54}{space 4}-.0339756{col 67}{space 3} .0481063
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0347598{col 26}{space 2} .0210231{col 37}{space 1}   -1.65{col 46}{space 3}0.099{col 54}{space 4}-.0760059{col 67}{space 3} .0064864
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} -.046143{col 26}{space 2}  .022229{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4} -.089755{col 67}{space 3} -.002531
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0414374{col 26}{space 2} .0222382{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4}-.0850675{col 67}{space 3} .0021928
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0346025{col 26}{space 2} .0246344{col 37}{space 1}   -1.40{col 46}{space 3}0.160{col 54}{space 4}-.0829339{col 67}{space 3} .0137288
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0467061{col 26}{space 2} .0239135{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4} -.093623{col 67}{space 3} .0002108
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0589819{col 26}{space 2} .0259299{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-.1098548{col 67}{space 3} -.008109
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0411391{col 26}{space 2} .0268169{col 37}{space 1}   -1.53{col 46}{space 3}0.125{col 54}{space 4}-.0937524{col 67}{space 3} .0114743
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0498341{col 26}{space 2} .0270894{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4}-.1029819{col 67}{space 3} .0033138
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0327673{col 26}{space 2} .0267853{col 37}{space 1}   -1.22{col 46}{space 3}0.221{col 54}{space 4}-.0853186{col 67}{space 3} .0197841
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1670104{col 26}{space 2} .0191155{col 37}{space 1}    8.74{col 46}{space 3}0.000{col 54}{space 4}  .129507{col 67}{space 3} .2045139
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30917625
     {txt}sigma_e {c |} {res} .21325262
         {txt}rho {c |} {res}  .6776227{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.           estimates store M1
{txt}
{com}.   xtreg  PVVsympmean ATET i.year if include==1 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5744
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1240

{txt}R-sq:  Within  = {res}0.0175                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0049                                        {txt}avg = {res}      4.6
{txt}       Overall = {res}0.0068                                        {txt}max = {res}       11

                                                {txt}F({res}11{txt},{res}1239{txt})         = {res}     6.34
{txt}corr(u_i, Xb)  = {res}0.0211                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,240} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .2941004{col 26}{space 2} .1448772{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0098687{col 67}{space 3} .5783321
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1144653{col 26}{space 2} .1369435{col 37}{space 1}    0.84{col 46}{space 3}0.403{col 54}{space 4}-.1542015{col 67}{space 3} .3831322
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .2154597{col 26}{space 2} .1455473{col 37}{space 1}    1.48{col 46}{space 3}0.139{col 54}{space 4}-.0700866{col 67}{space 3} .5010061
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2573405{col 26}{space 2} .1536562{col 37}{space 1}    1.67{col 46}{space 3}0.094{col 54}{space 4}-.0441146{col 67}{space 3} .5587956
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .5593497{col 26}{space 2} .1507292{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .2636371{col 67}{space 3} .8550623
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .2755851{col 26}{space 2} .1815801{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.0806533{col 67}{space 3} .6318235
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .4258404{col 26}{space 2} .1854576{col 37}{space 1}    2.30{col 46}{space 3}0.022{col 54}{space 4} .0619948{col 67}{space 3}  .789686
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0381109{col 26}{space 2} .1862789{col 37}{space 1}   -0.20{col 46}{space 3}0.838{col 54}{space 4}-.4035679{col 67}{space 3} .3273461
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .3807222{col 26}{space 2} .1938031{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4} .0005037{col 67}{space 3} .7609407
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2809998{col 26}{space 2} .1963965{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4}-.1043067{col 67}{space 3} .6663063
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .4256153{col 26}{space 2} .2096554{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0142965{col 67}{space 3} .8369342
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.111769{col 26}{space 2}  .131633{col 37}{space 1}  -16.04{col 46}{space 3}0.000{col 54}{space 4}-2.370017{col 67}{space 3} -1.85352
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.3368535
     {txt}sigma_e {c |} {res} 1.6344156
         {txt}rho {c |} {res} .80650931{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.   estimates store M2
{txt}
{com}.        xtreg  extremeright ATET i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5029
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1140

{txt}R-sq:  Within  = {res}0.0170                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0294                                        {txt}avg = {res}      4.4
{txt}       Overall = {res}0.0307                                        {txt}max = {res}       12

                                                {txt}F({res}23{txt},{res}1139{txt})         = {res}     2.25
{txt}corr(u_i, Xb)  = {res}-0.0527                        {txt}Prob > F           =    {res}0.0007

{txt}{ralign 90:(Std. err. adjusted for {res:1,140} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0526342{col 38}{space 2} .0190902{col 49}{space 1}    2.76{col 58}{space 3}0.006{col 66}{space 4} .0151783{col 79}{space 3} .0900901
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0539056{col 38}{space 2}   .07427{col 49}{space 1}    0.73{col 58}{space 3}0.468{col 66}{space 4}-.0918157{col 79}{space 3}  .199627
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0595959{col 38}{space 2} .0824673{col 49}{space 1}   -0.72{col 58}{space 3}0.470{col 66}{space 4}-.2214008{col 79}{space 3}  .102209
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0748527{col 38}{space 2}  .061769{col 49}{space 1}   -1.21{col 58}{space 3}0.226{col 66}{space 4}-.1960465{col 79}{space 3} .0463411
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0995544{col 38}{space 2}   .07634{col 49}{space 1}   -1.30{col 58}{space 3}0.192{col 66}{space 4}-.2493373{col 79}{space 3} .0502284
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.1088417{col 38}{space 2} .0714942{col 49}{space 1}   -1.52{col 58}{space 3}0.128{col 66}{space 4}-.2491168{col 79}{space 3} .0314333
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .000741{col 38}{space 2} .0029278{col 49}{space 1}    0.25{col 58}{space 3}0.800{col 66}{space 4}-.0050034{col 79}{space 3} .0064854
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0005623{col 38}{space 2}  .034551{col 49}{space 1}    0.02{col 58}{space 3}0.987{col 66}{space 4}-.0672285{col 79}{space 3} .0683531
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}  .013232{col 38}{space 2} .0165615{col 49}{space 1}    0.80{col 58}{space 3}0.424{col 66}{space 4}-.0192626{col 79}{space 3} .0457266
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0032805{col 38}{space 2} .0397973{col 49}{space 1}    0.08{col 58}{space 3}0.934{col 66}{space 4}-.0748037{col 79}{space 3} .0813647
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0646465{col 38}{space 2} .0389603{col 49}{space 1}    1.66{col 58}{space 3}0.097{col 66}{space 4}-.0117955{col 79}{space 3} .1410885
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0346245{col 38}{space 2} .0220443{col 49}{space 1}    1.57{col 58}{space 3}0.117{col 66}{space 4}-.0086276{col 79}{space 3} .0778765
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0245367{col 38}{space 2} .0219247{col 49}{space 1}    1.12{col 58}{space 3}0.263{col 66}{space 4}-.0184807{col 79}{space 3} .0675541
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0085254{col 38}{space 2} .0221895{col 49}{space 1}    0.38{col 58}{space 3}0.701{col 66}{space 4}-.0350115{col 79}{space 3} .0520622
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0349336{col 38}{space 2} .0222375{col 49}{space 1}   -1.57{col 58}{space 3}0.116{col 66}{space 4}-.0785647{col 79}{space 3} .0086976
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0497858{col 38}{space 2} .0234502{col 49}{space 1}   -2.12{col 58}{space 3}0.034{col 66}{space 4}-.0957963{col 79}{space 3}-.0037752
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0440155{col 38}{space 2}   .02323{col 49}{space 1}   -1.89{col 58}{space 3}0.058{col 66}{space 4}-.0895939{col 79}{space 3}  .001563
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0371458{col 38}{space 2} .0264613{col 49}{space 1}   -1.40{col 58}{space 3}0.161{col 66}{space 4}-.0890642{col 79}{space 3} .0147725
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} -.046878{col 38}{space 2}  .025813{col 49}{space 1}   -1.82{col 58}{space 3}0.070{col 66}{space 4}-.0975244{col 79}{space 3} .0037683
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} -.060404{col 38}{space 2}  .028027{col 49}{space 1}   -2.16{col 58}{space 3}0.031{col 66}{space 4}-.1153945{col 79}{space 3}-.0054136
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0433185{col 38}{space 2} .0291019{col 49}{space 1}   -1.49{col 58}{space 3}0.137{col 66}{space 4}-.1004179{col 79}{space 3} .0137809
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0530318{col 38}{space 2} .0293909{col 49}{space 1}   -1.80{col 58}{space 3}0.071{col 66}{space 4}-.1106981{col 79}{space 3} .0046346
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0321405{col 38}{space 2} .0296697{col 49}{space 1}   -1.08{col 58}{space 3}0.279{col 66}{space 4}-.0903539{col 79}{space 3}  .026073
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1806635{col 38}{space 2} .0567544{col 49}{space 1}    3.18{col 58}{space 3}0.001{col 66}{space 4} .0693085{col 79}{space 3} .2920185
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .31013977
                 {txt}sigma_e {c |} {res} .21608066
                     {txt}rho {c |} {res} .67321067{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.            estimates store M3
{txt}
{com}.   xtreg  PVVsympmean ATET i.oplcat lninc i.employ  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5432
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1185

{txt}R-sq:  Within  = {res}0.0265                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.1094                                        {txt}avg = {res}      4.6
{txt}       Overall = {res}0.0978                                        {txt}max = {res}       11

                                                {txt}F({res}22{txt},{res}1184{txt})         = {res}     4.37
{txt}corr(u_i, Xb)  = {res}0.1521                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,185} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2695004{col 38}{space 2} .1546577{col 49}{space 1}    1.74{col 58}{space 3}0.082{col 66}{space 4}-.0339334{col 79}{space 3} .5729341
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .7044389{col 38}{space 2} .5237134{col 49}{space 1}    1.35{col 58}{space 3}0.179{col 66}{space 4}-.3230708{col 79}{space 3} 1.731949
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}  .233663{col 38}{space 2} .5989253{col 49}{space 1}    0.39{col 58}{space 3}0.697{col 66}{space 4}-.9414102{col 79}{space 3} 1.408736
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .4121165{col 38}{space 2} .4672086{col 49}{space 1}    0.88{col 58}{space 3}0.378{col 66}{space 4}-.5045325{col 79}{space 3} 1.328766
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.4037394{col 38}{space 2} .6680263{col 49}{space 1}   -0.60{col 58}{space 3}0.546{col 66}{space 4}-1.714387{col 79}{space 3}  .906908
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-1.310386{col 38}{space 2} .7472816{col 49}{space 1}   -1.75{col 58}{space 3}0.080{col 66}{space 4} -2.77653{col 79}{space 3} .1557578
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0065965{col 38}{space 2} .0435199{col 49}{space 1}   -0.15{col 58}{space 3}0.880{col 66}{space 4}-.0919813{col 79}{space 3} .0787883
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0657129{col 38}{space 2} .2585624{col 49}{space 1}   -0.25{col 58}{space 3}0.799{col 66}{space 4}-.5730045{col 79}{space 3} .4415787
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} -.131684{col 38}{space 2} .1755017{col 49}{space 1}   -0.75{col 58}{space 3}0.453{col 66}{space 4}-.4760131{col 79}{space 3}  .212645
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.2648698{col 38}{space 2} .3567402{col 49}{space 1}   -0.74{col 58}{space 3}0.458{col 66}{space 4}-.9647832{col 79}{space 3} .4350436
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0547153{col 38}{space 2} .3320927{col 49}{space 1}   -0.16{col 58}{space 3}0.869{col 66}{space 4} -.706271{col 79}{space 3} .5968404
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0314379{col 38}{space 2} .1899274{col 49}{space 1}   -0.17{col 58}{space 3}0.869{col 66}{space 4}-.4040698{col 79}{space 3} .3411939
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1298409{col 38}{space 2} .1353941{col 49}{space 1}    0.96{col 58}{space 3}0.338{col 66}{space 4}-.1357982{col 79}{space 3}   .39548
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2198924{col 38}{space 2} .1500567{col 49}{space 1}    1.47{col 58}{space 3}0.143{col 66}{space 4}-.0745143{col 79}{space 3} .5142992
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2783953{col 38}{space 2} .1586729{col 49}{space 1}    1.75{col 58}{space 3}0.080{col 66}{space 4}-.0329162{col 79}{space 3} .5897067
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .6157924{col 38}{space 2} .1533763{col 49}{space 1}    4.01{col 58}{space 3}0.000{col 66}{space 4} .3148727{col 79}{space 3} .9167121
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3348359{col 38}{space 2} .1921903{col 49}{space 1}    1.74{col 58}{space 3}0.082{col 66}{space 4}-.0422356{col 79}{space 3} .7119074
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .4892972{col 38}{space 2} .1969823{col 49}{space 1}    2.48{col 58}{space 3}0.013{col 66}{space 4}  .102824{col 79}{space 3} .8757704
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0117027{col 38}{space 2} .1996457{col 49}{space 1}    0.06{col 58}{space 3}0.953{col 66}{space 4}-.3799962{col 79}{space 3} .4034015
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4398687{col 38}{space 2} .2094503{col 49}{space 1}    2.10{col 58}{space 3}0.036{col 66}{space 4} .0289337{col 79}{space 3} .8508038
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3520072{col 38}{space 2} .2133155{col 49}{space 1}    1.65{col 58}{space 3}0.099{col 66}{space 4}-.0665113{col 79}{space 3} .7705256
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .5318676{col 38}{space 2} .2261237{col 49}{space 1}    2.35{col 58}{space 3}0.019{col 66}{space 4} .0882197{col 79}{space 3} .9755155
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.176708{col 38}{space 2} .5541182{col 49}{space 1}   -3.93{col 58}{space 3}0.000{col 66}{space 4}-3.263871{col 79}{space 3}-1.089545
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.2024781
                 {txt}sigma_e {c |} {res} 1.6236043
                     {txt}rho {c |} {res} .79552437{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.   estimates store M4
{txt}
{com}.          
.          *Pretrend tests
.          
.          gen lead1=0
{txt}
{com}.          replace lead1=rentGWE if year==2013|year==2014
{txt}(5,332 real changes made, 4,708 to missing)

{com}.                  gen lead2=0
{txt}
{com}.          replace lead2=rentGWE if year==2012
{txt}(5,373 real changes made, 4,737 to missing)

{com}.                  gen lead3=0
{txt}
{com}.          replace lead3=rentGWE if year==2011
{txt}(5,578 real changes made, 4,941 to missing)

{com}.                  gen D0=0
{txt}
{com}.          replace D0=rentGWE if year==2015
{txt}(5,586 real changes made, 4,850 to missing)

{com}.                  gen lag1=0
{txt}
{com}.          replace lag1=rentGWE if year==2016
{txt}(5,141 real changes made, 4,475 to missing)

{com}.          gen lag2=0
{txt}
{com}.          replace lag2=rentGWE if year==2017
{txt}(5,802 real changes made, 5,068 to missing)

{com}.                  gen lag3=0
{txt}
{com}.          replace lag3=rentGWE if year==2018
{txt}(5,203 real changes made, 4,479 to missing)

{com}.          
. xtreg  extremeright lead3 lead2 lead1 D0 lag1 lag2 lag3 rentGWE i.year  i.oplcat   lninc i.employ  if include==1 & (year >2010 & year<2019) & rentGWE<2, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:rentGWE} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     3,369
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       978

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0222{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0084{col 63}{txt}avg{col 67}={col 69}{res}       3.4
{txt}     Overall = {res}0.0126{col 63}{txt}max{col 67}={col 69}{res}         7

{txt}{col 49}F({res}24{txt},{res}977{txt}){col 67}={col 70}{res}     1.63
{txt}corr(u_i, Xb) = {res}-0.0101{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0293

{txt}{ralign 90:(Std. err. adjusted for {res:978} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}lead3 {c |}{col 26}{res}{space 2} .0097115{col 38}{space 2} .0453764{col 49}{space 1}    0.21{col 58}{space 3}0.831{col 66}{space 4}-.0793349{col 79}{space 3} .0987579
{txt}{space 19}lead2 {c |}{col 26}{res}{space 2} -.045683{col 38}{space 2}    .0452{col 49}{space 1}   -1.01{col 58}{space 3}0.312{col 66}{space 4}-.1343833{col 79}{space 3} .0430172
{txt}{space 19}lead1 {c |}{col 26}{res}{space 2}-.0681392{col 38}{space 2} .0424522{col 49}{space 1}   -1.61{col 58}{space 3}0.109{col 66}{space 4}-.1514471{col 79}{space 3} .0151688
{txt}{space 22}D0 {c |}{col 26}{res}{space 2} .0104303{col 38}{space 2} .0375017{col 49}{space 1}    0.28{col 58}{space 3}0.781{col 66}{space 4}-.0631629{col 79}{space 3} .0840236
{txt}{space 20}lag1 {c |}{col 26}{res}{space 2} .0600351{col 38}{space 2} .0399813{col 49}{space 1}    1.50{col 58}{space 3}0.134{col 66}{space 4} -.018424{col 79}{space 3} .1384943
{txt}{space 20}lag2 {c |}{col 26}{res}{space 2} .0118229{col 38}{space 2} .0443435{col 49}{space 1}    0.27{col 58}{space 3}0.790{col 66}{space 4}-.0751965{col 79}{space 3} .0988423
{txt}{space 20}lag3 {c |}{col 26}{res}{space 2} .0285832{col 38}{space 2}  .039285{col 49}{space 1}    0.73{col 58}{space 3}0.467{col 66}{space 4}-.0485095{col 79}{space 3} .1056758
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2012  {c |}{col 26}{res}{space 2} .0333919{col 38}{space 2} .0168729{col 49}{space 1}    1.98{col 58}{space 3}0.048{col 66}{space 4} .0002805{col 79}{space 3} .0665033
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0585133{col 38}{space 2} .0258314{col 49}{space 1}    2.27{col 58}{space 3}0.024{col 66}{space 4}  .007822{col 79}{space 3} .1092047
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0448719{col 38}{space 2} .0272891{col 49}{space 1}    1.64{col 58}{space 3}0.100{col 66}{space 4}-.0086801{col 79}{space 3} .0984239
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0022519{col 38}{space 2} .0282126{col 49}{space 1}   -0.08{col 58}{space 3}0.936{col 66}{space 4}-.0576161{col 79}{space 3} .0531123
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0225761{col 38}{space 2} .0297084{col 49}{space 1}    0.76{col 58}{space 3}0.447{col 66}{space 4}-.0357234{col 79}{space 3} .0808757
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0302658{col 38}{space 2} .0306192{col 49}{space 1}    0.99{col 58}{space 3}0.323{col 66}{space 4}-.0298212{col 79}{space 3} .0903528
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0356674{col 38}{space 2} .0482838{col 49}{space 1}   -0.74{col 58}{space 3}0.460{col 66}{space 4}-.1304192{col 79}{space 3} .0590844
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0171784{col 38}{space 2} .0322834{col 49}{space 1}   -0.53{col 58}{space 3}0.595{col 66}{space 4}-.0805312{col 79}{space 3} .0461745
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0386469{col 38}{space 2} .0432666{col 49}{space 1}   -0.89{col 58}{space 3}0.372{col 66}{space 4}-.1235531{col 79}{space 3} .0462594
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} -.047602{col 38}{space 2} .0434759{col 49}{space 1}   -1.09{col 58}{space 3}0.274{col 66}{space 4} -.132919{col 79}{space 3} .0377149
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0612605{col 38}{space 2} .0466062{col 49}{space 1}   -1.31{col 58}{space 3}0.189{col 66}{space 4}-.1527203{col 79}{space 3} .0301993
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0038192{col 38}{space 2} .0029494{col 49}{space 1}   -1.29{col 58}{space 3}0.196{col 66}{space 4}-.0096072{col 79}{space 3} .0019688
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0606849{col 38}{space 2} .0580205{col 49}{space 1}   -1.05{col 58}{space 3}0.296{col 66}{space 4}-.1745441{col 79}{space 3} .0531743
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0059446{col 38}{space 2} .0170287{col 49}{space 1}   -0.35{col 58}{space 3}0.727{col 66}{space 4}-.0393615{col 79}{space 3} .0274724
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0555707{col 38}{space 2} .0477319{col 49}{space 1}   -1.16{col 58}{space 3}0.245{col 66}{space 4}-.1492395{col 79}{space 3} .0380981
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0802978{col 38}{space 2}  .058972{col 49}{space 1}    1.36{col 58}{space 3}0.174{col 66}{space 4}-.0354285{col 79}{space 3} .1960242
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0078303{col 38}{space 2} .0269136{col 49}{space 1}    0.29{col 58}{space 3}0.771{col 66}{space 4}-.0449848{col 79}{space 3} .0606453
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1851146{col 38}{space 2} .0475594{col 49}{space 1}    3.89{col 58}{space 3}0.000{col 66}{space 4} .0917844{col 79}{space 3} .2784449
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .30781386
                 {txt}sigma_e {c |} {res} .20463934
                     {txt}rho {c |} {res} .69349124{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.           
.   xtreg  extremeright rentGWE##i.year i.oplcat lninc i.employ  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,029
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,140

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0214{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0228{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     Overall = {res}0.0279{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}34{txt},{res}1139{txt}){col 67}={col 70}{res}     2.02
{txt}corr(u_i, Xb) = {res}-0.0529{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0005

{txt}{ralign 90:(Std. err. adjusted for {res:1,140} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}rentGWE {c |}
{space 7}GWE Not included  {c |}{col 26}{res}{space 2}-.0736936{col 38}{space 2} .0561435{col 49}{space 1}   -1.31{col 58}{space 3}0.190{col 66}{space 4}-.1838499{col 79}{space 3} .0364626
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0493962{col 38}{space 2} .0486047{col 49}{space 1}   -1.02{col 58}{space 3}0.310{col 66}{space 4}-.1447611{col 79}{space 3} .0459687
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0157356{col 38}{space 2} .0565915{col 49}{space 1}   -0.28{col 58}{space 3}0.781{col 66}{space 4}-.1267709{col 79}{space 3} .0952996
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0967819{col 38}{space 2} .0537355{col 49}{space 1}   -1.80{col 58}{space 3}0.072{col 66}{space 4}-.2022136{col 79}{space 3} .0086498
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0738325{col 38}{space 2} .0569063{col 49}{space 1}   -1.30{col 58}{space 3}0.195{col 66}{space 4}-.1854853{col 79}{space 3} .0378203
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0465391{col 38}{space 2} .0589022{col 49}{space 1}   -0.79{col 58}{space 3}0.430{col 66}{space 4}-.1621082{col 79}{space 3}   .06903
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0582941{col 38}{space 2} .0535352{col 49}{space 1}   -1.09{col 58}{space 3}0.276{col 66}{space 4}-.1633328{col 79}{space 3} .0467445
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.1045839{col 38}{space 2} .0537361{col 49}{space 1}   -1.95{col 58}{space 3}0.052{col 66}{space 4}-.2100167{col 79}{space 3}  .000849
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0882934{col 38}{space 2} .0581454{col 49}{space 1}   -1.52{col 58}{space 3}0.129{col 66}{space 4}-.2023777{col 79}{space 3} .0257908
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0822398{col 38}{space 2} .0554504{col 49}{space 1}   -1.48{col 58}{space 3}0.138{col 66}{space 4}-.1910361{col 79}{space 3} .0265565
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0830967{col 38}{space 2} .0610226{col 49}{space 1}   -1.36{col 58}{space 3}0.174{col 66}{space 4} -.202826{col 79}{space 3} .0366327
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.1093158{col 38}{space 2}  .058224{col 49}{space 1}   -1.88{col 58}{space 3}0.061{col 66}{space 4}-.2235541{col 79}{space 3} .0049226
{txt}{space 24} {c |}
{space 12}rentGWE#year {c |}
{space 2}GWE Not included#2009  {c |}{col 26}{res}{space 2} .0926268{col 38}{space 2} .0541793{col 49}{space 1}    1.71{col 58}{space 3}0.088{col 66}{space 4}-.0136756{col 79}{space 3} .1989292
{txt}{space 2}GWE Not included#2010  {c |}{col 26}{res}{space 2} .0303393{col 38}{space 2} .0611784{col 49}{space 1}    0.50{col 58}{space 3}0.620{col 66}{space 4}-.0896956{col 79}{space 3} .1503743
{txt}{space 2}GWE Not included#2011  {c |}{col 26}{res}{space 2} .0783199{col 38}{space 2} .0590111{col 49}{space 1}    1.33{col 58}{space 3}0.185{col 66}{space 4}-.0374628{col 79}{space 3} .1941027
{txt}{space 2}GWE Not included#2012  {c |}{col 26}{res}{space 2} .0298088{col 38}{space 2} .0626781{col 49}{space 1}    0.48{col 58}{space 3}0.634{col 66}{space 4}-.0931688{col 79}{space 3} .1527863
{txt}{space 2}GWE Not included#2013  {c |}{col 26}{res}{space 2} .0012749{col 38}{space 2}  .064148{col 49}{space 1}    0.02{col 58}{space 3}0.984{col 66}{space 4}-.1245866{col 79}{space 3} .1271364
{txt}{space 2}GWE Not included#2015  {c |}{col 26}{res}{space 2} .0770564{col 38}{space 2} .0596338{col 49}{space 1}    1.29{col 58}{space 3}0.197{col 66}{space 4}-.0399481{col 79}{space 3} .1940608
{txt}{space 2}GWE Not included#2016  {c |}{col 26}{res}{space 2}  .127323{col 38}{space 2} .0605367{col 49}{space 1}    2.10{col 58}{space 3}0.036{col 66}{space 4}  .008547{col 79}{space 3}  .246099
{txt}{space 2}GWE Not included#2017  {c |}{col 26}{res}{space 2} .0859968{col 38}{space 2}  .065609{col 49}{space 1}    1.31{col 58}{space 3}0.190{col 66}{space 4}-.0427312{col 79}{space 3} .2147247
{txt}{space 2}GWE Not included#2018  {c |}{col 26}{res}{space 2} .1005962{col 38}{space 2} .0628593{col 49}{space 1}    1.60{col 58}{space 3}0.110{col 66}{space 4}-.0227368{col 79}{space 3} .2239293
{txt}{space 2}GWE Not included#2019  {c |}{col 26}{res}{space 2} .0889353{col 38}{space 2} .0683249{col 49}{space 1}    1.30{col 58}{space 3}0.193{col 66}{space 4}-.0451216{col 79}{space 3} .2229921
{txt}{space 2}GWE Not included#2020  {c |}{col 26}{res}{space 2} .1502923{col 38}{space 2} .0654018{col 49}{space 1}    2.30{col 58}{space 3}0.022{col 66}{space 4} .0219708{col 79}{space 3} .2786137
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0571602{col 38}{space 2}  .074214{col 49}{space 1}    0.77{col 58}{space 3}0.441{col 66}{space 4}-.0884514{col 79}{space 3} .2027717
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} -.054737{col 38}{space 2} .0829768{col 49}{space 1}   -0.66{col 58}{space 3}0.510{col 66}{space 4}-.2175416{col 79}{space 3} .1080675
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0762166{col 38}{space 2} .0616432{col 49}{space 1}   -1.24{col 58}{space 3}0.217{col 66}{space 4}-.1971634{col 79}{space 3} .0447303
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0906192{col 38}{space 2} .0783581{col 49}{space 1}   -1.16{col 58}{space 3}0.248{col 66}{space 4}-.2443615{col 79}{space 3} .0631232
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0929313{col 38}{space 2} .0736118{col 49}{space 1}   -1.26{col 58}{space 3}0.207{col 66}{space 4}-.2373613{col 79}{space 3} .0514987
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0018702{col 38}{space 2} .0030936{col 49}{space 1}    0.60{col 58}{space 3}0.546{col 66}{space 4}-.0041997{col 79}{space 3} .0079401
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0027937{col 38}{space 2} .0342186{col 49}{space 1}   -0.08{col 58}{space 3}0.935{col 66}{space 4}-.0699323{col 79}{space 3} .0643449
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0150253{col 38}{space 2} .0165422{col 49}{space 1}    0.91{col 58}{space 3}0.364{col 66}{space 4}-.0174313{col 79}{space 3} .0474819
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0055297{col 38}{space 2} .0392031{col 49}{space 1}    0.14{col 58}{space 3}0.888{col 66}{space 4}-.0713886{col 79}{space 3} .0824481
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}  .064121{col 38}{space 2} .0389483{col 49}{space 1}    1.65{col 58}{space 3}0.100{col 66}{space 4}-.0122974{col 79}{space 3} .1405394
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0348278{col 38}{space 2} .0219134{col 49}{space 1}    1.59{col 58}{space 3}0.112{col 66}{space 4}-.0081673{col 79}{space 3}  .077823
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2251926{col 38}{space 2} .0708125{col 49}{space 1}    3.18{col 58}{space 3}0.002{col 66}{space 4} .0862551{col 79}{space 3} .3641302
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .31132537
                 {txt}sigma_e {c |} {res} .21590625
                     {txt}rho {c |} {res} .67524149{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.   
.   xtreg  PVVsympmean rentGWE##i.year i.oplcat lninc i.employ  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,432
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,185

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0287{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.1135{col 63}{txt}avg{col 67}={col 69}{res}       4.6
{txt}     Overall = {res}0.0996{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}32{txt},{res}1184{txt}){col 67}={col 70}{res}     3.40
{txt}corr(u_i, Xb) = {res}0.1511{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,185} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}rentGWE {c |}
{space 7}GWE Not included  {c |}{col 26}{res}{space 2}-.5383501{col 38}{space 2} .3949388{col 49}{space 1}   -1.36{col 58}{space 3}0.173{col 66}{space 4}-1.313208{col 79}{space 3} .2365078
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.5420249{col 38}{space 2} .3018544{col 49}{space 1}   -1.80{col 58}{space 3}0.073{col 66}{space 4}-1.134254{col 79}{space 3} .0502043
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.1735474{col 38}{space 2} .3177628{col 49}{space 1}   -0.55{col 58}{space 3}0.585{col 66}{space 4}-.7969883{col 79}{space 3} .4498935
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.3464598{col 38}{space 2} .3602264{col 49}{space 1}   -0.96{col 58}{space 3}0.336{col 66}{space 4}-1.053213{col 79}{space 3} .3602934
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0855792{col 38}{space 2} .3484587{col 49}{space 1}    0.25{col 58}{space 3}0.806{col 66}{space 4}-.5980863{col 79}{space 3} .7692446
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.1479541{col 38}{space 2} .3494939{col 49}{space 1}   -0.42{col 58}{space 3}0.672{col 66}{space 4}-.8336506{col 79}{space 3} .5377423
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0234259{col 38}{space 2} .3461077{col 49}{space 1}   -0.07{col 58}{space 3}0.946{col 66}{space 4}-.7024786{col 79}{space 3} .6556269
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.4933525{col 38}{space 2} .3687872{col 49}{space 1}   -1.34{col 58}{space 3}0.181{col 66}{space 4}-1.216902{col 79}{space 3} .2301967
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0049856{col 38}{space 2} .3904094{col 49}{space 1}   -0.01{col 58}{space 3}0.990{col 66}{space 4}-.7709571{col 79}{space 3} .7609858
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.1013847{col 38}{space 2} .3779923{col 49}{space 1}   -0.27{col 58}{space 3}0.789{col 66}{space 4}-.8429941{col 79}{space 3} .6402247
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1460517{col 38}{space 2} .4147223{col 49}{space 1}    0.35{col 58}{space 3}0.725{col 66}{space 4}-.6676209{col 79}{space 3} .9597243
{txt}{space 24} {c |}
{space 12}rentGWE#year {c |}
{space 2}GWE Not included#2009  {c |}{col 26}{res}{space 2} .8591997{col 38}{space 2} .3323473{col 49}{space 1}    2.59{col 58}{space 3}0.010{col 66}{space 4} .2071445{col 79}{space 3} 1.511255
{txt}{space 2}GWE Not included#2010  {c |}{col 26}{res}{space 2} .5064521{col 38}{space 2} .3571117{col 49}{space 1}    1.42{col 58}{space 3}0.156{col 66}{space 4}-.1941902{col 79}{space 3} 1.207094
{txt}{space 2}GWE Not included#2012  {c |}{col 26}{res}{space 2} .8056083{col 38}{space 2} .3975169{col 49}{space 1}    2.03{col 58}{space 3}0.043{col 66}{space 4} .0256922{col 79}{space 3} 1.585524
{txt}{space 2}GWE Not included#2013  {c |}{col 26}{res}{space 2} .6811774{col 38}{space 2} .3875237{col 49}{space 1}    1.76{col 58}{space 3}0.079{col 66}{space 4}-.0791323{col 79}{space 3} 1.441487
{txt}{space 2}GWE Not included#2015  {c |}{col 26}{res}{space 2} .8857853{col 38}{space 2} .3906922{col 49}{space 1}    2.27{col 58}{space 3}0.024{col 66}{space 4} .1192592{col 79}{space 3} 1.652312
{txt}{space 2}GWE Not included#2016  {c |}{col 26}{res}{space 2} .9290272{col 38}{space 2} .3936357{col 49}{space 1}    2.36{col 58}{space 3}0.018{col 66}{space 4} .1567259{col 79}{space 3} 1.701329
{txt}{space 2}GWE Not included#2017  {c |}{col 26}{res}{space 2} .9181916{col 38}{space 2} .4146736{col 49}{space 1}    2.21{col 58}{space 3}0.027{col 66}{space 4} .1046146{col 79}{space 3} 1.731769
{txt}{space 2}GWE Not included#2018  {c |}{col 26}{res}{space 2} .8402087{col 38}{space 2} .4367812{col 49}{space 1}    1.92{col 58}{space 3}0.055{col 66}{space 4}-.0167427{col 79}{space 3}  1.69716
{txt}{space 2}GWE Not included#2019  {c |}{col 26}{res}{space 2}  .851663{col 38}{space 2} .4222276{col 49}{space 1}    2.02{col 58}{space 3}0.044{col 66}{space 4} .0232653{col 79}{space 3} 1.680061
{txt}{space 2}GWE Not included#2020  {c |}{col 26}{res}{space 2} .7644642{col 38}{space 2} .4635272{col 49}{space 1}    1.65{col 58}{space 3}0.099{col 66}{space 4}-.1449622{col 79}{space 3} 1.673891
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .6996945{col 38}{space 2} .5241512{col 49}{space 1}    1.33{col 58}{space 3}0.182{col 66}{space 4}-.3286742{col 79}{space 3} 1.728063
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .2157347{col 38}{space 2} .5926805{col 49}{space 1}    0.36{col 58}{space 3}0.716{col 66}{space 4}-.9470863{col 79}{space 3} 1.378556
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .4030732{col 38}{space 2} .4688977{col 49}{space 1}    0.86{col 58}{space 3}0.390{col 66}{space 4}-.5168897{col 79}{space 3} 1.323036
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.4137972{col 38}{space 2} .6701499{col 49}{space 1}   -0.62{col 58}{space 3}0.537{col 66}{space 4}-1.728611{col 79}{space 3} .9010165
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-1.332593{col 38}{space 2} .7346464{col 49}{space 1}   -1.81{col 58}{space 3}0.070{col 66}{space 4}-2.773947{col 79}{space 3} .1087606
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0109191{col 38}{space 2} .0440398{col 49}{space 1}   -0.25{col 58}{space 3}0.804{col 66}{space 4}-.0973237{col 79}{space 3} .0754856
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0896182{col 38}{space 2} .2568031{col 49}{space 1}   -0.35{col 58}{space 3}0.727{col 66}{space 4} -.593458{col 79}{space 3} .4142217
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1354668{col 38}{space 2}  .174331{col 49}{space 1}   -0.78{col 58}{space 3}0.437{col 66}{space 4}-.4774989{col 79}{space 3} .2065654
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.2473296{col 38}{space 2} .3506655{col 49}{space 1}   -0.71{col 58}{space 3}0.481{col 66}{space 4}-.9353246{col 79}{space 3} .4406654
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0703102{col 38}{space 2} .3324272{col 49}{space 1}   -0.21{col 58}{space 3}0.833{col 66}{space 4}-.7225222{col 79}{space 3} .5819019
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0428203{col 38}{space 2} .1894272{col 49}{space 1}   -0.23{col 58}{space 3}0.821{col 66}{space 4}-.4144708{col 79}{space 3} .3288302
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.706426{col 38}{space 2} .6383915{col 49}{space 1}   -2.67{col 58}{space 3}0.008{col 66}{space 4}-2.958931{col 79}{space 3}-.4539214
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.1966728
                 {txt}sigma_e {c |} {res} 1.6237574
                     {txt}rho {c |} {res} .79490273{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.          
. 
.          
.  *Estimate by income quartile
.          xtreg  extremeright ATET##i.incquart i.oplcat  i.employ  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5029
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1140

{txt}R-sq:  Within  = {res}0.0190                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0319                                        {txt}avg = {res}      4.4
{txt}       Overall = {res}0.0338                                        {txt}max = {res}       12

                                                {txt}F({res}28{txt},{res}1139{txt})         = {res}     1.90
{txt}corr(u_i, Xb)  = {res}-0.0502                        {txt}Prob > F           =    {res}0.0032

{txt}{ralign 90:(Std. err. adjusted for {res:1,140} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}1.ATET {c |}{col 26}{res}{space 2} .0724311{col 38}{space 2}   .02323{col 49}{space 1}    3.12{col 58}{space 3}0.002{col 66}{space 4} .0268528{col 79}{space 3} .1180094
{txt}{space 24} {c |}
{space 16}incquart {c |}
{space 22}2  {c |}{col 26}{res}{space 2} .0234901{col 38}{space 2} .0167723{col 49}{space 1}    1.40{col 58}{space 3}0.162{col 66}{space 4}-.0094179{col 79}{space 3} .0563981
{txt}{space 22}3  {c |}{col 26}{res}{space 2}-.0020611{col 38}{space 2} .0262558{col 49}{space 1}   -0.08{col 58}{space 3}0.937{col 66}{space 4}-.0535762{col 79}{space 3}  .049454
{txt}{space 22}4  {c |}{col 26}{res}{space 2} .0142759{col 38}{space 2} .0309072{col 49}{space 1}    0.46{col 58}{space 3}0.644{col 66}{space 4}-.0463655{col 79}{space 3} .0749173
{txt}{space 24} {c |}
{space 11}ATET#incquart {c |}
{space 20}1 2  {c |}{col 26}{res}{space 2}-.0424042{col 38}{space 2} .0244618{col 49}{space 1}   -1.73{col 58}{space 3}0.083{col 66}{space 4}-.0903994{col 79}{space 3} .0055911
{txt}{space 20}1 3  {c |}{col 26}{res}{space 2}-.0370396{col 38}{space 2}  .040494{col 49}{space 1}   -0.91{col 58}{space 3}0.361{col 66}{space 4}-.1164908{col 79}{space 3} .0424117
{txt}{space 20}1 4  {c |}{col 26}{res}{space 2}-.0348603{col 38}{space 2} .0391369{col 49}{space 1}   -0.89{col 58}{space 3}0.373{col 66}{space 4}-.1116487{col 79}{space 3} .0419282
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0540769{col 38}{space 2} .0743848{col 49}{space 1}    0.73{col 58}{space 3}0.467{col 66}{space 4}-.0918698{col 79}{space 3} .2000236
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0627341{col 38}{space 2} .0825298{col 49}{space 1}   -0.76{col 58}{space 3}0.447{col 66}{space 4}-.2246616{col 79}{space 3} .0991933
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0689439{col 38}{space 2} .0624336{col 49}{space 1}   -1.10{col 58}{space 3}0.270{col 66}{space 4}-.1914418{col 79}{space 3} .0535539
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.1042764{col 38}{space 2} .0759517{col 49}{space 1}   -1.37{col 58}{space 3}0.170{col 66}{space 4}-.2532975{col 79}{space 3} .0447446
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.1113472{col 38}{space 2} .0717011{col 49}{space 1}   -1.55{col 58}{space 3}0.121{col 66}{space 4}-.2520283{col 79}{space 3} .0293339
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0005659{col 38}{space 2} .0337802{col 49}{space 1}   -0.02{col 58}{space 3}0.987{col 66}{space 4}-.0668443{col 79}{space 3} .0657125
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0136184{col 38}{space 2} .0165154{col 49}{space 1}    0.82{col 58}{space 3}0.410{col 66}{space 4}-.0187856{col 79}{space 3} .0460225
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0013918{col 38}{space 2} .0402556{col 49}{space 1}    0.03{col 58}{space 3}0.972{col 66}{space 4}-.0775918{col 79}{space 3} .0803753
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0644789{col 38}{space 2} .0391687{col 49}{space 1}    1.65{col 58}{space 3}0.100{col 66}{space 4}-.0123719{col 79}{space 3} .1413297
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0329851{col 38}{space 2} .0220753{col 49}{space 1}    1.49{col 58}{space 3}0.135{col 66}{space 4}-.0103277{col 79}{space 3} .0762978
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0231821{col 38}{space 2}  .022114{col 49}{space 1}    1.05{col 58}{space 3}0.295{col 66}{space 4}-.0202066{col 79}{space 3} .0665708
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0073397{col 38}{space 2} .0223544{col 49}{space 1}    0.33{col 58}{space 3}0.743{col 66}{space 4}-.0365206{col 79}{space 3}    .0512
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0356897{col 38}{space 2} .0224418{col 49}{space 1}   -1.59{col 58}{space 3}0.112{col 66}{space 4}-.0797217{col 79}{space 3} .0083423
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0504577{col 38}{space 2} .0234975{col 49}{space 1}   -2.15{col 58}{space 3}0.032{col 66}{space 4} -.096561{col 79}{space 3}-.0043545
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0455979{col 38}{space 2} .0233209{col 49}{space 1}   -1.96{col 58}{space 3}0.051{col 66}{space 4}-.0913547{col 79}{space 3}  .000159
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0393914{col 38}{space 2} .0267499{col 49}{space 1}   -1.47{col 58}{space 3}0.141{col 66}{space 4} -.091876{col 79}{space 3} .0130933
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0488335{col 38}{space 2} .0260644{col 49}{space 1}   -1.87{col 58}{space 3}0.061{col 66}{space 4}-.0999731{col 79}{space 3} .0023062
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0627257{col 38}{space 2} .0283003{col 49}{space 1}   -2.22{col 58}{space 3}0.027{col 66}{space 4}-.1182523{col 79}{space 3}-.0071992
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0460827{col 38}{space 2} .0293811{col 49}{space 1}   -1.57{col 58}{space 3}0.117{col 66}{space 4}-.1037298{col 79}{space 3} .0115645
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0555564{col 38}{space 2} .0297972{col 49}{space 1}   -1.86{col 58}{space 3}0.063{col 66}{space 4}-.1140199{col 79}{space 3} .0029071
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0346577{col 38}{space 2}  .030019{col 49}{space 1}   -1.15{col 58}{space 3}0.249{col 66}{space 4}-.0935565{col 79}{space 3} .0242411
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1814126{col 38}{space 2} .0565417{col 49}{space 1}    3.21{col 58}{space 3}0.001{col 66}{space 4}  .070475{col 79}{space 3} .2923501
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .30973154
                 {txt}sigma_e {c |} {res} .21600134
                     {txt}rho {c |} {res} .67279254{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.           xtreg  PVVsympmean ATET##i.incquart i.oplcat  i.employ  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5432
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1185

{txt}R-sq:  Within  = {res}0.0296                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.1169                                        {txt}avg = {res}      4.6
{txt}       Overall = {res}0.1029                                        {txt}max = {res}       11

                                                {txt}F({res}27{txt},{res}1184{txt})         = {res}     3.82
{txt}corr(u_i, Xb)  = {res}0.1491                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,185} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}1.ATET {c |}{col 26}{res}{space 2} .3843499{col 38}{space 2} .1717511{col 49}{space 1}    2.24{col 58}{space 3}0.025{col 66}{space 4} .0473795{col 79}{space 3} .7213202
{txt}{space 24} {c |}
{space 16}incquart {c |}
{space 22}2  {c |}{col 26}{res}{space 2} .1460828{col 38}{space 2} .1308976{col 49}{space 1}    1.12{col 58}{space 3}0.265{col 66}{space 4}-.1107342{col 79}{space 3} .4028998
{txt}{space 22}3  {c |}{col 26}{res}{space 2}-.2566914{col 38}{space 2} .2319013{col 49}{space 1}   -1.11{col 58}{space 3}0.269{col 66}{space 4}-.7116747{col 79}{space 3} .1982918
{txt}{space 22}4  {c |}{col 26}{res}{space 2}-.1742683{col 38}{space 2} .2352358{col 49}{space 1}   -0.74{col 58}{space 3}0.459{col 66}{space 4}-.6357938{col 79}{space 3} .2872572
{txt}{space 24} {c |}
{space 11}ATET#incquart {c |}
{space 20}1 2  {c |}{col 26}{res}{space 2}-.3130594{col 38}{space 2} .1643505{col 49}{space 1}   -1.90{col 58}{space 3}0.057{col 66}{space 4}-.6355102{col 79}{space 3} .0093914
{txt}{space 20}1 3  {c |}{col 26}{res}{space 2}-.1737093{col 38}{space 2} .2787622{col 49}{space 1}   -0.62{col 58}{space 3}0.533{col 66}{space 4}-.7206323{col 79}{space 3} .3732138
{txt}{space 20}1 4  {c |}{col 26}{res}{space 2} .0797864{col 38}{space 2} .2842389{col 49}{space 1}    0.28{col 58}{space 3}0.779{col 66}{space 4}-.4778816{col 79}{space 3} .6374545
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .7102406{col 38}{space 2} .5194932{col 49}{space 1}    1.37{col 58}{space 3}0.172{col 66}{space 4}-.3089892{col 79}{space 3}  1.72947
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1934476{col 38}{space 2} .5952337{col 49}{space 1}    0.32{col 58}{space 3}0.745{col 66}{space 4}-.9743828{col 79}{space 3} 1.361278
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .4482018{col 38}{space 2} .4640386{col 49}{space 1}    0.97{col 58}{space 3}0.334{col 66}{space 4}-.4622278{col 79}{space 3} 1.358631
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.4295151{col 38}{space 2} .6637327{col 49}{space 1}   -0.65{col 58}{space 3}0.518{col 66}{space 4}-1.731738{col 79}{space 3} .8727083
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-1.327231{col 38}{space 2} .7421451{col 49}{space 1}   -1.79{col 58}{space 3}0.074{col 66}{space 4}-2.783297{col 79}{space 3}  .128835
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0787632{col 38}{space 2}  .255126{col 49}{space 1}   -0.31{col 58}{space 3}0.758{col 66}{space 4}-.5793127{col 79}{space 3} .4217862
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1355467{col 38}{space 2} .1750014{col 49}{space 1}   -0.77{col 58}{space 3}0.439{col 66}{space 4}-.4788941{col 79}{space 3} .2078008
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.2920469{col 38}{space 2} .3575135{col 49}{space 1}   -0.82{col 58}{space 3}0.414{col 66}{space 4}-.9934775{col 79}{space 3} .4093837
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0612328{col 38}{space 2} .3371153{col 49}{space 1}   -0.18{col 58}{space 3}0.856{col 66}{space 4}-.7226428{col 79}{space 3} .6001772
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0454942{col 38}{space 2} .1874597{col 49}{space 1}   -0.24{col 58}{space 3}0.808{col 66}{space 4}-.4132844{col 79}{space 3}  .322296
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1194933{col 38}{space 2} .1358525{col 49}{space 1}    0.88{col 58}{space 3}0.379{col 66}{space 4}-.1470453{col 79}{space 3} .3860318
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}  .212161{col 38}{space 2} .1499317{col 49}{space 1}    1.42{col 58}{space 3}0.157{col 66}{space 4}-.0820004{col 79}{space 3} .5063225
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2702444{col 38}{space 2} .1585694{col 49}{space 1}    1.70{col 58}{space 3}0.089{col 66}{space 4} -.040864{col 79}{space 3} .5813528
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .6008857{col 38}{space 2} .1536228{col 49}{space 1}    3.91{col 58}{space 3}0.000{col 66}{space 4} .2994824{col 79}{space 3} .9022889
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3200903{col 38}{space 2} .1919138{col 49}{space 1}    1.67{col 58}{space 3}0.096{col 66}{space 4}-.0564388{col 79}{space 3} .6966194
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .4779406{col 38}{space 2} .1964937{col 49}{space 1}    2.43{col 58}{space 3}0.015{col 66}{space 4} .0924259{col 79}{space 3} .8634552
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0003025{col 38}{space 2} .1995516{col 49}{space 1}    0.00{col 58}{space 3}0.999{col 66}{space 4}-.3912117{col 79}{space 3} .3918166
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4164616{col 38}{space 2} .2096434{col 49}{space 1}    1.99{col 58}{space 3}0.047{col 66}{space 4} .0051477{col 79}{space 3} .8277756
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3322656{col 38}{space 2} .2133623{col 49}{space 1}    1.56{col 58}{space 3}0.120{col 66}{space 4}-.0863447{col 79}{space 3} .7508759
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .5088522{col 38}{space 2} .2260434{col 49}{space 1}    2.25{col 58}{space 3}0.025{col 66}{space 4} .0653618{col 79}{space 3} .9523426
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} -2.20525{col 38}{space 2} .4463364{col 49}{space 1}   -4.94{col 58}{space 3}0.000{col 66}{space 4}-3.080948{col 79}{space 3}-1.329551
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.1889504
                 {txt}sigma_e {c |} {res} 1.6220105
                     {txt}rho {c |} {res}  .7944647{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.                       
.          xtreg  extremeright ATET i.oplcat  i.employ  i.year if include==1 & incquart<3, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     4156
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      978

{txt}R-sq:  Within  = {res}0.0179                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0327                                        {txt}avg = {res}      4.2
{txt}       Overall = {res}0.0325                                        {txt}max = {res}       12

                                                {txt}F({res}22{txt},{res}977{txt})          = {res}     2.13
{txt}corr(u_i, Xb)  = {res}-0.0601                        {txt}Prob > F           =    {res}0.0019

{txt}{ralign 90:(Std. err. adjusted for {res:978} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0638506{col 38}{space 2} .0215294{col 49}{space 1}    2.97{col 58}{space 3}0.003{col 66}{space 4} .0216013{col 79}{space 3} .1060998
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0656019{col 38}{space 2} .0777338{col 49}{space 1}    0.84{col 58}{space 3}0.399{col 66}{space 4}-.0869425{col 79}{space 3} .2181462
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0694285{col 38}{space 2} .0927882{col 49}{space 1}   -0.75{col 58}{space 3}0.454{col 66}{space 4}-.2515156{col 79}{space 3} .1126587
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0724481{col 38}{space 2} .0717375{col 49}{space 1}   -1.01{col 58}{space 3}0.313{col 66}{space 4}-.2132255{col 79}{space 3} .0683292
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.1017592{col 38}{space 2} .0914715{col 49}{space 1}   -1.11{col 58}{space 3}0.266{col 66}{space 4}-.2812623{col 79}{space 3} .0777439
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.1080125{col 38}{space 2}  .090756{col 49}{space 1}   -1.19{col 58}{space 3}0.234{col 66}{space 4}-.2861117{col 79}{space 3} .0700866
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0109279{col 38}{space 2} .0356414{col 49}{space 1}    0.31{col 58}{space 3}0.759{col 66}{space 4}-.0590145{col 79}{space 3} .0808703
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0187991{col 38}{space 2} .0187796{col 49}{space 1}    1.00{col 58}{space 3}0.317{col 66}{space 4}-.0180539{col 79}{space 3} .0556522
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0051321{col 38}{space 2} .0516095{col 49}{space 1}    0.10{col 58}{space 3}0.921{col 66}{space 4}-.0961462{col 79}{space 3} .1064104
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0669151{col 38}{space 2} .0407312{col 49}{space 1}    1.64{col 58}{space 3}0.101{col 66}{space 4}-.0130157{col 79}{space 3} .1468458
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0330174{col 38}{space 2} .0260582{col 49}{space 1}    1.27{col 58}{space 3}0.205{col 66}{space 4}-.0181192{col 79}{space 3} .0841539
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0209936{col 38}{space 2} .0255567{col 49}{space 1}    0.82{col 58}{space 3}0.412{col 66}{space 4}-.0291587{col 79}{space 3} .0711459
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0044422{col 38}{space 2} .0256341{col 49}{space 1}    0.17{col 58}{space 3}0.862{col 66}{space 4} -.045862{col 79}{space 3} .0547464
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0359302{col 38}{space 2} .0240383{col 49}{space 1}   -1.49{col 58}{space 3}0.135{col 66}{space 4}-.0831029{col 79}{space 3} .0112425
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0419121{col 38}{space 2} .0254776{col 49}{space 1}   -1.65{col 58}{space 3}0.100{col 66}{space 4}-.0919093{col 79}{space 3} .0080851
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0424757{col 38}{space 2} .0260192{col 49}{space 1}   -1.63{col 58}{space 3}0.103{col 66}{space 4}-.0935357{col 79}{space 3} .0085843
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0370601{col 38}{space 2}  .029559{col 49}{space 1}   -1.25{col 58}{space 3}0.210{col 66}{space 4}-.0950666{col 79}{space 3} .0209465
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0448943{col 38}{space 2} .0283666{col 49}{space 1}   -1.58{col 58}{space 3}0.114{col 66}{space 4}-.1005607{col 79}{space 3} .0107721
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0677626{col 38}{space 2} .0306943{col 49}{space 1}   -2.21{col 58}{space 3}0.027{col 66}{space 4}-.1279969{col 79}{space 3}-.0075283
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0512567{col 38}{space 2} .0321714{col 49}{space 1}   -1.59{col 58}{space 3}0.111{col 66}{space 4}-.1143897{col 79}{space 3} .0118764
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0568687{col 38}{space 2} .0324906{col 49}{space 1}   -1.75{col 58}{space 3}0.080{col 66}{space 4}-.1206281{col 79}{space 3} .0068907
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0443025{col 38}{space 2} .0318335{col 49}{space 1}   -1.39{col 58}{space 3}0.164{col 66}{space 4}-.1067723{col 79}{space 3} .0181674
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1782035{col 38}{space 2} .0620826{col 49}{space 1}    2.87{col 58}{space 3}0.004{col 66}{space 4}  .056373{col 79}{space 3}  .300034
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .30853323
                 {txt}sigma_e {c |} {res} .21875554
                     {txt}rho {c |} {res} .66546609{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.                     xtreg  extremeright ATET i.oplcat  i.employ  i.year if include==1 & incquart>2, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     1109
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      400

{txt}R-sq:  Within  = {res}0.0388                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0000                                        {txt}avg = {res}      2.8
{txt}       Overall = {res}0.0040                                        {txt}max = {res}       12

{col 49}{help j_robustsingular##|_new:F(21,399)}{col 68}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb)  = {res}-0.2931                        {txt}Prob > F           =    {res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:400} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0014245{col 38}{space 2} .0413576{col 49}{space 1}    0.03{col 58}{space 3}0.973{col 66}{space 4}-.0798815{col 79}{space 3} .0827304
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}  .018746{col 38}{space 2} .0516483{col 49}{space 1}    0.36{col 58}{space 3}0.717{col 66}{space 4}-.0827907{col 79}{space 3} .1202827
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0494366{col 38}{space 2} .0597794{col 49}{space 1}   -0.83{col 58}{space 3}0.409{col 66}{space 4}-.1669586{col 79}{space 3} .0680854
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0018838{col 38}{space 2} .0306069{col 49}{space 1}   -0.06{col 58}{space 3}0.951{col 66}{space 4}-.0620548{col 79}{space 3} .0582872
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .1048396{col 38}{space 2}  .069797{col 49}{space 1}    1.50{col 58}{space 3}0.134{col 66}{space 4}-.0323762{col 79}{space 3} .2420555
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0192122{col 38}{space 2} .0480165{col 49}{space 1}   -0.40{col 58}{space 3}0.689{col 66}{space 4}-.1136092{col 79}{space 3} .0751848
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.3706875{col 38}{space 2} .2652357{col 49}{space 1}   -1.40{col 58}{space 3}0.163{col 66}{space 4}-.8921216{col 79}{space 3} .1507466
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1418309{col 38}{space 2} .0771304{col 49}{space 1}   -1.84{col 58}{space 3}0.067{col 66}{space 4}-.2934638{col 79}{space 3} .0098019
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} -.012661{col 38}{space 2} .0260572{col 49}{space 1}   -0.49{col 58}{space 3}0.627{col 66}{space 4}-.0638874{col 79}{space 3} .0385655
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0780623{col 38}{space 2} .0967669{col 49}{space 1}   -0.81{col 58}{space 3}0.420{col 66}{space 4} -.268299{col 79}{space 3} .1121743
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0008054{col 38}{space 2} .0610565{col 49}{space 1}   -0.01{col 58}{space 3}0.989{col 66}{space 4} -.120838{col 79}{space 3} .1192273
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0289184{col 38}{space 2} .0483793{col 49}{space 1}    0.60{col 58}{space 3}0.550{col 66}{space 4}-.0661918{col 79}{space 3} .1240285
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}  .012964{col 38}{space 2} .0444504{col 49}{space 1}    0.29{col 58}{space 3}0.771{col 66}{space 4}-.0744222{col 79}{space 3} .1003502
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0573849{col 38}{space 2} .0598106{col 49}{space 1}   -0.96{col 58}{space 3}0.338{col 66}{space 4}-.1749682{col 79}{space 3} .0601984
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0745217{col 38}{space 2} .0573899{col 49}{space 1}   -1.30{col 58}{space 3}0.195{col 66}{space 4} -.187346{col 79}{space 3} .0383026
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0472089{col 38}{space 2}  .054204{col 49}{space 1}   -0.87{col 58}{space 3}0.384{col 66}{space 4}  -.15377{col 79}{space 3} .0593523
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0217029{col 38}{space 2} .0531076{col 49}{space 1}   -0.41{col 58}{space 3}0.683{col 66}{space 4}-.1261085{col 79}{space 3} .0827028
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0620883{col 38}{space 2} .0542879{col 49}{space 1}   -1.14{col 58}{space 3}0.253{col 66}{space 4}-.1688144{col 79}{space 3} .0446378
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0280036{col 38}{space 2} .0581434{col 49}{space 1}   -0.48{col 58}{space 3}0.630{col 66}{space 4}-.1423093{col 79}{space 3} .0863022
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0073423{col 38}{space 2} .0577766{col 49}{space 1}    0.13{col 58}{space 3}0.899{col 66}{space 4}-.1062424{col 79}{space 3} .1209269
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0153316{col 38}{space 2} .0557314{col 49}{space 1}   -0.28{col 58}{space 3}0.783{col 66}{space 4}-.1248954{col 79}{space 3} .0942322
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0050786{col 38}{space 2} .0605887{col 49}{space 1}   -0.08{col 58}{space 3}0.933{col 66}{space 4}-.1241915{col 79}{space 3} .1140343
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1636426{col 38}{space 2} .0542433{col 49}{space 1}    3.02{col 58}{space 3}0.003{col 66}{space 4} .0570043{col 79}{space 3} .2702809
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .32092389
                 {txt}sigma_e {c |} {res}  .2032607
                     {txt}rho {c |} {res} .71370138{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.           xtreg  PVVsympmean ATET##i.incquart i.oplcat  i.employ  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5432
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1185

{txt}R-sq:  Within  = {res}0.0296                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.1169                                        {txt}avg = {res}      4.6
{txt}       Overall = {res}0.1029                                        {txt}max = {res}       11

                                                {txt}F({res}27{txt},{res}1184{txt})         = {res}     3.82
{txt}corr(u_i, Xb)  = {res}0.1491                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,185} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}1.ATET {c |}{col 26}{res}{space 2} .3843499{col 38}{space 2} .1717511{col 49}{space 1}    2.24{col 58}{space 3}0.025{col 66}{space 4} .0473795{col 79}{space 3} .7213202
{txt}{space 24} {c |}
{space 16}incquart {c |}
{space 22}2  {c |}{col 26}{res}{space 2} .1460828{col 38}{space 2} .1308976{col 49}{space 1}    1.12{col 58}{space 3}0.265{col 66}{space 4}-.1107342{col 79}{space 3} .4028998
{txt}{space 22}3  {c |}{col 26}{res}{space 2}-.2566914{col 38}{space 2} .2319013{col 49}{space 1}   -1.11{col 58}{space 3}0.269{col 66}{space 4}-.7116747{col 79}{space 3} .1982918
{txt}{space 22}4  {c |}{col 26}{res}{space 2}-.1742683{col 38}{space 2} .2352358{col 49}{space 1}   -0.74{col 58}{space 3}0.459{col 66}{space 4}-.6357938{col 79}{space 3} .2872572
{txt}{space 24} {c |}
{space 11}ATET#incquart {c |}
{space 20}1 2  {c |}{col 26}{res}{space 2}-.3130594{col 38}{space 2} .1643505{col 49}{space 1}   -1.90{col 58}{space 3}0.057{col 66}{space 4}-.6355102{col 79}{space 3} .0093914
{txt}{space 20}1 3  {c |}{col 26}{res}{space 2}-.1737093{col 38}{space 2} .2787622{col 49}{space 1}   -0.62{col 58}{space 3}0.533{col 66}{space 4}-.7206323{col 79}{space 3} .3732138
{txt}{space 20}1 4  {c |}{col 26}{res}{space 2} .0797864{col 38}{space 2} .2842389{col 49}{space 1}    0.28{col 58}{space 3}0.779{col 66}{space 4}-.4778816{col 79}{space 3} .6374545
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .7102406{col 38}{space 2} .5194932{col 49}{space 1}    1.37{col 58}{space 3}0.172{col 66}{space 4}-.3089892{col 79}{space 3}  1.72947
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1934476{col 38}{space 2} .5952337{col 49}{space 1}    0.32{col 58}{space 3}0.745{col 66}{space 4}-.9743828{col 79}{space 3} 1.361278
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .4482018{col 38}{space 2} .4640386{col 49}{space 1}    0.97{col 58}{space 3}0.334{col 66}{space 4}-.4622278{col 79}{space 3} 1.358631
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.4295151{col 38}{space 2} .6637327{col 49}{space 1}   -0.65{col 58}{space 3}0.518{col 66}{space 4}-1.731738{col 79}{space 3} .8727083
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-1.327231{col 38}{space 2} .7421451{col 49}{space 1}   -1.79{col 58}{space 3}0.074{col 66}{space 4}-2.783297{col 79}{space 3}  .128835
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0787632{col 38}{space 2}  .255126{col 49}{space 1}   -0.31{col 58}{space 3}0.758{col 66}{space 4}-.5793127{col 79}{space 3} .4217862
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1355467{col 38}{space 2} .1750014{col 49}{space 1}   -0.77{col 58}{space 3}0.439{col 66}{space 4}-.4788941{col 79}{space 3} .2078008
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.2920469{col 38}{space 2} .3575135{col 49}{space 1}   -0.82{col 58}{space 3}0.414{col 66}{space 4}-.9934775{col 79}{space 3} .4093837
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0612328{col 38}{space 2} .3371153{col 49}{space 1}   -0.18{col 58}{space 3}0.856{col 66}{space 4}-.7226428{col 79}{space 3} .6001772
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0454942{col 38}{space 2} .1874597{col 49}{space 1}   -0.24{col 58}{space 3}0.808{col 66}{space 4}-.4132844{col 79}{space 3}  .322296
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1194933{col 38}{space 2} .1358525{col 49}{space 1}    0.88{col 58}{space 3}0.379{col 66}{space 4}-.1470453{col 79}{space 3} .3860318
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}  .212161{col 38}{space 2} .1499317{col 49}{space 1}    1.42{col 58}{space 3}0.157{col 66}{space 4}-.0820004{col 79}{space 3} .5063225
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2702444{col 38}{space 2} .1585694{col 49}{space 1}    1.70{col 58}{space 3}0.089{col 66}{space 4} -.040864{col 79}{space 3} .5813528
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .6008857{col 38}{space 2} .1536228{col 49}{space 1}    3.91{col 58}{space 3}0.000{col 66}{space 4} .2994824{col 79}{space 3} .9022889
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3200903{col 38}{space 2} .1919138{col 49}{space 1}    1.67{col 58}{space 3}0.096{col 66}{space 4}-.0564388{col 79}{space 3} .6966194
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .4779406{col 38}{space 2} .1964937{col 49}{space 1}    2.43{col 58}{space 3}0.015{col 66}{space 4} .0924259{col 79}{space 3} .8634552
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0003025{col 38}{space 2} .1995516{col 49}{space 1}    0.00{col 58}{space 3}0.999{col 66}{space 4}-.3912117{col 79}{space 3} .3918166
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4164616{col 38}{space 2} .2096434{col 49}{space 1}    1.99{col 58}{space 3}0.047{col 66}{space 4} .0051477{col 79}{space 3} .8277756
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3322656{col 38}{space 2} .2133623{col 49}{space 1}    1.56{col 58}{space 3}0.120{col 66}{space 4}-.0863447{col 79}{space 3} .7508759
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .5088522{col 38}{space 2} .2260434{col 49}{space 1}    2.25{col 58}{space 3}0.025{col 66}{space 4} .0653618{col 79}{space 3} .9523426
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} -2.20525{col 38}{space 2} .4463364{col 49}{space 1}   -4.94{col 58}{space 3}0.000{col 66}{space 4}-3.080948{col 79}{space 3}-1.329551
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.1889504
                 {txt}sigma_e {c |} {res} 1.6220105
                     {txt}rho {c |} {res}  .7944647{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.                           
.                           
.   
.            *Panel regressions that allow for within person changes
.              xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                   bysort nomem_encr (year) : egen minyr2 = min(year)
{txt}
{com}.                 *Only include observations that have at least one before and one after value
.  bysort nomem_encr (year) : egen maxyr2 = max(year)
{txt}
{com}.  gen include2=0
{txt}
{com}.  replace include2=1 if minyr2<2015 & maxyr2>2014
{txt}(47,304 real changes made)

{com}.                  
.           xtreg  extremeright  ATET rentGWE i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,808
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,213

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0129{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0013{col 63}{txt}avg{col 67}={col 69}{res}       4.8
{txt}     Overall = {res}0.0045{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}1212{txt}){col 67}={col 70}{res}     4.02
{txt}corr(u_i, Xb) = {res}0.0001{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,213} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0637566{col 26}{space 2} .0179958{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .0284502{col 67}{space 3}  .099063
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2}-.0408468{col 26}{space 2} .0191525{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-.0784225{col 67}{space 3}-.0032711
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}    .0257{col 26}{space 2} .0198207{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4}-.0131867{col 67}{space 3} .0645867
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0201798{col 26}{space 2} .0192991{col 37}{space 1}    1.05{col 46}{space 3}0.296{col 54}{space 4}-.0176837{col 67}{space 3} .0580432
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0276649{col 26}{space 2}  .019341{col 37}{space 1}   -1.43{col 46}{space 3}0.153{col 54}{space 4}-.0656104{col 67}{space 3} .0102806
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0373387{col 26}{space 2} .0204971{col 37}{space 1}   -1.82{col 46}{space 3}0.069{col 54}{space 4}-.0775525{col 67}{space 3} .0028751
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0318911{col 26}{space 2} .0205822{col 37}{space 1}   -1.55{col 46}{space 3}0.122{col 54}{space 4}-.0722719{col 67}{space 3} .0084896
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0331299{col 26}{space 2} .0232066{col 37}{space 1}   -1.43{col 46}{space 3}0.154{col 54}{space 4}-.0786594{col 67}{space 3} .0123997
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0430962{col 26}{space 2} .0226242{col 37}{space 1}   -1.90{col 46}{space 3}0.057{col 54}{space 4}-.0874832{col 67}{space 3} .0012909
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0613557{col 26}{space 2} .0242862{col 37}{space 1}   -2.53{col 46}{space 3}0.012{col 54}{space 4}-.1090033{col 67}{space 3}-.0137082
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0431626{col 26}{space 2} .0250727{col 37}{space 1}   -1.72{col 46}{space 3}0.085{col 54}{space 4}-.0923532{col 67}{space 3} .0060281
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0511389{col 26}{space 2} .0249065{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-.1000035{col 67}{space 3}-.0022743
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0416439{col 26}{space 2} .0248979{col 37}{space 1}   -1.67{col 46}{space 3}0.095{col 54}{space 4}-.0904917{col 67}{space 3} .0072039
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1886082{col 26}{space 2} .0193082{col 37}{space 1}    9.77{col 46}{space 3}0.000{col 54}{space 4} .1507269{col 67}{space 3} .2264894
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30564576
     {txt}sigma_e {c |} {res} .21353501
         {txt}rho {c |} {res} .67200159{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.           estimates store M5
{txt}
{com}.   xtreg  PVVsympmean ATET rentGWE i.year if include2==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,281
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,246

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0170{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0029{col 63}{txt}avg{col 67}={col 69}{res}       5.0
{txt}     Overall = {res}0.0053{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}1245{txt}){col 67}={col 70}{res}     6.95
{txt}corr(u_i, Xb) = {res}0.0129{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,246} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}  .321935{col 26}{space 2} .1475595{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0324423{col 67}{space 3} .6114277
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2}-.0411614{col 26}{space 2} .1463383{col 37}{space 1}   -0.28{col 46}{space 3}0.779{col 54}{space 4}-.3282583{col 67}{space 3} .2459356
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1362385{col 26}{space 2} .1194639{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4}-.0981342{col 67}{space 3} .3706113
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .2021216{col 26}{space 2} .1297924{col 37}{space 1}    1.56{col 46}{space 3}0.120{col 54}{space 4}-.0525144{col 67}{space 3} .4567576
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2178491{col 26}{space 2} .1383583{col 37}{space 1}    1.57{col 46}{space 3}0.116{col 54}{space 4}-.0535921{col 67}{space 3} .4892903
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .5359991{col 26}{space 2} .1357675{col 37}{space 1}    3.95{col 46}{space 3}0.000{col 54}{space 4} .2696407{col 67}{space 3} .8023575
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .2305425{col 26}{space 2} .1793561{col 37}{space 1}    1.29{col 46}{space 3}0.199{col 54}{space 4}-.1213311{col 67}{space 3}  .582416
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3781651{col 26}{space 2} .1775132{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0299071{col 67}{space 3} .7264231
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.1248216{col 26}{space 2} .1847552{col 37}{space 1}   -0.68{col 46}{space 3}0.499{col 54}{space 4}-.4872875{col 67}{space 3} .2376442
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .3321069{col 26}{space 2} .1849018{col 37}{space 1}    1.80{col 46}{space 3}0.073{col 54}{space 4}-.0306466{col 67}{space 3} .6948603
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2256513{col 26}{space 2} .1902924{col 37}{space 1}    1.19{col 46}{space 3}0.236{col 54}{space 4}-.1476778{col 67}{space 3} .5989805
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .3160096{col 26}{space 2} .1992559{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0749049{col 67}{space 3}  .706924
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.119535{col 26}{space 2} .1624283{col 37}{space 1}  -13.05{col 46}{space 3}0.000{col 54}{space 4}-2.438199{col 67}{space 3}-1.800872
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.3163093
     {txt}sigma_e {c |} {res} 1.6488836
         {txt}rho {c |} {res} .80178817{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.   estimates store M6
{txt}
{com}.        xtreg  extremeright ATET rentGWE i.oplcat   lninc i.employ  i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,485
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,153

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0168{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0077{col 63}{txt}avg{col 67}={col 69}{res}       4.8
{txt}     Overall = {res}0.0127{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1152{txt}){col 67}={col 70}{res}     2.48
{txt}corr(u_i, Xb) = {res}-0.0711{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0001

{txt}{ralign 90:(Std. err. adjusted for {res:1,153} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0636551{col 38}{space 2} .0194444{col 49}{space 1}    3.27{col 58}{space 3}0.001{col 66}{space 4} .0255047{col 79}{space 3} .1018055
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2} -.038916{col 38}{space 2} .0203858{col 49}{space 1}   -1.91{col 58}{space 3}0.057{col 66}{space 4}-.0789134{col 79}{space 3} .0010815
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0466059{col 38}{space 2} .0759634{col 49}{space 1}    0.61{col 58}{space 3}0.540{col 66}{space 4}-.1024362{col 79}{space 3} .1956481
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0228646{col 38}{space 2} .0784949{col 49}{space 1}   -0.29{col 58}{space 3}0.771{col 66}{space 4}-.1768735{col 79}{space 3} .1311443
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0865508{col 38}{space 2} .0639435{col 49}{space 1}   -1.35{col 58}{space 3}0.176{col 66}{space 4}-.2120095{col 79}{space 3}  .038908
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0530294{col 38}{space 2} .0793167{col 49}{space 1}   -0.67{col 58}{space 3}0.504{col 66}{space 4}-.2086508{col 79}{space 3} .1025921
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0540628{col 38}{space 2} .0725977{col 49}{space 1}   -0.74{col 58}{space 3}0.457{col 66}{space 4}-.1965014{col 79}{space 3} .0883757
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0008756{col 38}{space 2} .0028442{col 49}{space 1}    0.31{col 58}{space 3}0.758{col 66}{space 4}-.0047048{col 79}{space 3}  .006456
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0005418{col 38}{space 2} .0354181{col 49}{space 1}    0.02{col 58}{space 3}0.988{col 66}{space 4}-.0689493{col 79}{space 3} .0700329
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0123415{col 38}{space 2} .0154343{col 49}{space 1}    0.80{col 58}{space 3}0.424{col 66}{space 4} -.017941{col 79}{space 3}  .042624
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}   .00507{col 38}{space 2}  .033434{col 49}{space 1}    0.15{col 58}{space 3}0.879{col 66}{space 4}-.0605285{col 79}{space 3} .0706684
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0523534{col 38}{space 2} .0352858{col 49}{space 1}    1.48{col 58}{space 3}0.138{col 66}{space 4}-.0168783{col 79}{space 3} .1215851
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0286625{col 38}{space 2} .0200646{col 49}{space 1}    1.43{col 58}{space 3}0.153{col 66}{space 4}-.0107047{col 79}{space 3} .0680298
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0301069{col 38}{space 2} .0203797{col 49}{space 1}    1.48{col 58}{space 3}0.140{col 66}{space 4}-.0098786{col 79}{space 3} .0700924
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0211955{col 38}{space 2} .0204366{col 49}{space 1}    1.04{col 58}{space 3}0.300{col 66}{space 4}-.0189016{col 79}{space 3} .0612926
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0281844{col 38}{space 2} .0204189{col 49}{space 1}   -1.38{col 58}{space 3}0.168{col 66}{space 4}-.0682469{col 79}{space 3} .0118781
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0412319{col 38}{space 2} .0217207{col 49}{space 1}   -1.90{col 58}{space 3}0.058{col 66}{space 4}-.0838485{col 79}{space 3} .0013847
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0351335{col 38}{space 2} .0215248{col 49}{space 1}   -1.63{col 58}{space 3}0.103{col 66}{space 4}-.0773657{col 79}{space 3} .0070987
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0371113{col 38}{space 2} .0251074{col 49}{space 1}   -1.48{col 58}{space 3}0.140{col 66}{space 4}-.0863726{col 79}{space 3}   .01215
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0440323{col 38}{space 2} .0245847{col 49}{space 1}   -1.79{col 58}{space 3}0.074{col 66}{space 4}-.0922681{col 79}{space 3} .0042035
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0648618{col 38}{space 2}  .026512{col 49}{space 1}   -2.45{col 58}{space 3}0.015{col 66}{space 4}-.1168789{col 79}{space 3}-.0128447
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0486807{col 38}{space 2} .0275035{col 49}{space 1}   -1.77{col 58}{space 3}0.077{col 66}{space 4}-.1026433{col 79}{space 3} .0052819
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0531845{col 38}{space 2} .0271934{col 49}{space 1}   -1.96{col 58}{space 3}0.051{col 66}{space 4}-.1065386{col 79}{space 3} .0001697
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0415912{col 38}{space 2} .0276803{col 49}{space 1}   -1.50{col 58}{space 3}0.133{col 66}{space 4}-.0959007{col 79}{space 3} .0127183
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1916901{col 38}{space 2} .0571586{col 49}{space 1}    3.35{col 58}{space 3}0.001{col 66}{space 4} .0795436{col 79}{space 3} .3038366
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .31144707
                 {txt}sigma_e {c |} {res}  .2160504
                     {txt}rho {c |} {res} .67512018{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.            estimates store M7
{txt}
{com}.   xtreg  PVVsympmean ATET rentGWE i.oplcat lninc i.employ  i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,940
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,194

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0249{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0557{col 63}{txt}avg{col 67}={col 69}{res}       5.0
{txt}     Overall = {res}0.0520{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}23{txt},{res}1193{txt}){col 67}={col 70}{res}     5.00
{txt}corr(u_i, Xb) = {res}0.0995{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,194} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2672415{col 38}{space 2} .1575778{col 49}{space 1}    1.70{col 58}{space 3}0.090{col 66}{space 4}-.0419191{col 79}{space 3}  .576402
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2}  .018281{col 38}{space 2} .1519546{col 49}{space 1}    0.12{col 58}{space 3}0.904{col 66}{space 4} -.279847{col 79}{space 3} .3164091
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .7384753{col 38}{space 2} .5182801{col 49}{space 1}    1.42{col 58}{space 3}0.154{col 66}{space 4}-.2783667{col 79}{space 3} 1.755317
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .5240136{col 38}{space 2} .6018228{col 49}{space 1}    0.87{col 58}{space 3}0.384{col 66}{space 4}-.6567354{col 79}{space 3} 1.704763
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .2985865{col 38}{space 2}  .478064{col 49}{space 1}    0.62{col 58}{space 3}0.532{col 66}{space 4}-.6393534{col 79}{space 3} 1.236526
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .3407812{col 38}{space 2} .7220822{col 49}{space 1}    0.47{col 58}{space 3}0.637{col 66}{space 4}-1.075911{col 79}{space 3} 1.757474
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.8651388{col 38}{space 2} .7628066{col 49}{space 1}   -1.13{col 58}{space 3}0.257{col 66}{space 4}-2.361731{col 79}{space 3}  .631453
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0234093{col 38}{space 2} .0379404{col 49}{space 1}   -0.62{col 58}{space 3}0.537{col 66}{space 4}-.0978467{col 79}{space 3} .0510281
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0227593{col 38}{space 2} .2309332{col 49}{space 1}   -0.10{col 58}{space 3}0.922{col 66}{space 4}-.4758398{col 79}{space 3} .4303212
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0149593{col 38}{space 2} .1826098{col 49}{space 1}    0.08{col 58}{space 3}0.935{col 66}{space 4}-.3433129{col 79}{space 3} .3732315
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0583324{col 38}{space 2} .3342146{col 49}{space 1}    0.17{col 58}{space 3}0.861{col 66}{space 4}-.5973814{col 79}{space 3} .7140462
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0686167{col 38}{space 2} .3203039{col 49}{space 1}   -0.21{col 58}{space 3}0.830{col 66}{space 4}-.6970384{col 79}{space 3} .5598049
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0663863{col 38}{space 2} .1894303{col 49}{space 1}    0.35{col 58}{space 3}0.726{col 66}{space 4}-.3052674{col 79}{space 3}   .43804
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}  .154032{col 38}{space 2} .1186359{col 49}{space 1}    1.30{col 58}{space 3}0.194{col 66}{space 4}-.0787263{col 79}{space 3} .3867903
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1968076{col 38}{space 2} .1343749{col 49}{space 1}    1.46{col 58}{space 3}0.143{col 66}{space 4}-.0668297{col 79}{space 3} .4604449
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2370762{col 38}{space 2} .1441188{col 49}{space 1}    1.65{col 58}{space 3}0.100{col 66}{space 4}-.0456784{col 79}{space 3} .5198307
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .5864679{col 38}{space 2} .1389478{col 49}{space 1}    4.22{col 58}{space 3}0.000{col 66}{space 4} .3138585{col 79}{space 3} .8590772
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3035048{col 38}{space 2} .1892367{col 49}{space 1}    1.60{col 58}{space 3}0.109{col 66}{space 4}-.0677689{col 79}{space 3} .6747785
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}  .455148{col 38}{space 2} .1881826{col 49}{space 1}    2.42{col 58}{space 3}0.016{col 66}{space 4} .0859422{col 79}{space 3} .8243538
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0597663{col 38}{space 2} .1961807{col 49}{space 1}   -0.30{col 58}{space 3}0.761{col 66}{space 4}-.4446639{col 79}{space 3} .3251313
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}  .390381{col 38}{space 2} .1978281{col 49}{space 1}    1.97{col 58}{space 3}0.049{col 66}{space 4} .0022513{col 79}{space 3} .7785107
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3109053{col 38}{space 2} .2052791{col 49}{space 1}    1.51{col 58}{space 3}0.130{col 66}{space 4} -.091843{col 79}{space 3} .7136537
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .4179271{col 38}{space 2} .2143935{col 49}{space 1}    1.95{col 58}{space 3}0.051{col 66}{space 4}-.0027032{col 79}{space 3} .8385573
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.352463{col 38}{space 2} .5325906{col 49}{space 1}   -4.42{col 58}{space 3}0.000{col 66}{space 4}-3.397382{col 79}{space 3}-1.307545
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.2608659
                 {txt}sigma_e {c |} {res} 1.6395049
                     {txt}rho {c |} {res}  .7982185{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.   estimates store M8
{txt}
{com}.   
.   
.   coefplot M1 M3 M5 M7 , drop(_cons 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year )  xline(0) yline(0) title("Voting Intention for the Far Right") name(g1)
{res}{txt}
{com}.     coefplot M2 M4 M6 M8 , drop(_cons 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year )  xline(0) yline(0) title("Difference Sympathy for PVV and Mainstream Parties") name(g2)
{res}{txt}
{com}.   
.   grc1leg g1 g2, legendfrom(g1) 
{res}{txt}
{com}. graph export regressionsrentGWE.png, replace 
{txt}{p 0 4 2}
file {bf}
regressionsrentGWE.png{rm}
saved as
PNG
format
{p_end}

{com}.   
.  reg rentGWE status1-status6  lninc deduc1-deduc6  if include==1 & Post==0
{txt}{p 0 6 2}note: {bf:status4} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:deduc3} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}     3,036
{txt}{hline 13}{c +}{hline 34}   F(11, 3024)     = {res}    19.84
{txt}       Model {c |} {res} 36.5725834        11  3.32478031   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 506.853965     3,024  .167610438   {txt}R-squared       ={res}    0.0673
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0639
{txt}       Total {c |} {res} 543.426548     3,035  .179053228   {txt}Root MSE        =   {res}  .4094

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     rentGWE{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}status1 {c |}{col 14}{res}{space 2} .2187956{col 26}{space 2} .0410226{col 37}{space 1}    5.33{col 46}{space 3}0.000{col 54}{space 4} .1383605{col 67}{space 3} .2992307
{txt}{space 5}status2 {c |}{col 14}{res}{space 2}  .313114{col 26}{space 2} .0547671{col 37}{space 1}    5.72{col 46}{space 3}0.000{col 54}{space 4} .2057294{col 67}{space 3} .4204986
{txt}{space 5}status3 {c |}{col 14}{res}{space 2} .2832572{col 26}{space 2} .0424613{col 37}{space 1}    6.67{col 46}{space 3}0.000{col 54}{space 4} .2000014{col 67}{space 3} .3665131
{txt}{space 5}status4 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}status5 {c |}{col 14}{res}{space 2} .2447814{col 26}{space 2} .0493454{col 37}{space 1}    4.96{col 46}{space 3}0.000{col 54}{space 4} .1480276{col 67}{space 3} .3415353
{txt}{space 5}status6 {c |}{col 14}{res}{space 2} .2039166{col 26}{space 2} .0424267{col 37}{space 1}    4.81{col 46}{space 3}0.000{col 54}{space 4} .1207284{col 67}{space 3} .2871048
{txt}{space 7}lninc {c |}{col 14}{res}{space 2}  .049136{col 26}{space 2}  .010103{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .0293265{col 67}{space 3} .0689455
{txt}{space 6}deduc1 {c |}{col 14}{res}{space 2} .0515718{col 26}{space 2} .0349718{col 37}{space 1}    1.47{col 46}{space 3}0.140{col 54}{space 4}-.0169992{col 67}{space 3} .1201427
{txt}{space 6}deduc2 {c |}{col 14}{res}{space 2}  .181362{col 26}{space 2} .0301391{col 37}{space 1}    6.02{col 46}{space 3}0.000{col 54}{space 4} .1222668{col 67}{space 3} .2404571
{txt}{space 6}deduc3 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 6}deduc4 {c |}{col 14}{res}{space 2} .1584035{col 26}{space 2}  .030887{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4} .0978419{col 67}{space 3}  .218965
{txt}{space 6}deduc5 {c |}{col 14}{res}{space 2} .0557945{col 26}{space 2} .0315825{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.0061308{col 67}{space 3} .1177198
{txt}{space 6}deduc6 {c |}{col 14}{res}{space 2}-.0238194{col 26}{space 2} .0375705{col 37}{space 1}   -0.63{col 46}{space 3}0.526{col 54}{space 4}-.0974856{col 67}{space 3} .0498469
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0735074{col 26}{space 2} .0760926{col 37}{space 1}    0.97{col 46}{space 3}0.334{col 54}{space 4}-.0756912{col 67}{space 3} .2227059
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.  estimates store Pre
{txt}
{com}.  reg rentGWE status1-status6  lninc deduc1-deduc6 if include==1 & Post==1
{txt}{p 0 6 2}note: {bf:status4} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:deduc3} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}     3,438
{txt}{hline 13}{c +}{hline 34}   F(11, 3426)     = {res}    20.99
{txt}       Model {c |} {res} 42.8608241        11  3.89643855   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 636.027192     3,426  .185647166   {txt}R-squared       ={res}    0.0631
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0601
{txt}       Total {c |} {res} 678.888016     3,437  .197523426   {txt}Root MSE        =   {res} .43087

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     rentGWE{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}status1 {c |}{col 14}{res}{space 2} .2199852{col 26}{space 2} .0461728{col 37}{space 1}    4.76{col 46}{space 3}0.000{col 54}{space 4} .1294561{col 67}{space 3} .3105142
{txt}{space 5}status2 {c |}{col 14}{res}{space 2} .2637506{col 26}{space 2} .0576209{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .1507758{col 67}{space 3} .3767254
{txt}{space 5}status3 {c |}{col 14}{res}{space 2} .2641408{col 26}{space 2} .0462628{col 37}{space 1}    5.71{col 46}{space 3}0.000{col 54}{space 4} .1734352{col 67}{space 3} .3548463
{txt}{space 5}status4 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}status5 {c |}{col 14}{res}{space 2} .2959326{col 26}{space 2} .0531473{col 37}{space 1}    5.57{col 46}{space 3}0.000{col 54}{space 4} .1917291{col 67}{space 3} .4001361
{txt}{space 5}status6 {c |}{col 14}{res}{space 2} .2468851{col 26}{space 2} .0464066{col 37}{space 1}    5.32{col 46}{space 3}0.000{col 54}{space 4} .1558977{col 67}{space 3} .3378725
{txt}{space 7}lninc {c |}{col 14}{res}{space 2} .0408364{col 26}{space 2} .0087661{col 37}{space 1}    4.66{col 46}{space 3}0.000{col 54}{space 4}  .023649{col 67}{space 3} .0580238
{txt}{space 6}deduc1 {c |}{col 14}{res}{space 2} .1450373{col 26}{space 2} .0350741{col 37}{space 1}    4.14{col 46}{space 3}0.000{col 54}{space 4}  .076269{col 67}{space 3} .2138056
{txt}{space 6}deduc2 {c |}{col 14}{res}{space 2} .1761918{col 26}{space 2}   .02926{col 37}{space 1}    6.02{col 46}{space 3}0.000{col 54}{space 4}  .118823{col 67}{space 3} .2335606
{txt}{space 6}deduc3 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 6}deduc4 {c |}{col 14}{res}{space 2} .1455497{col 26}{space 2} .0297003{col 37}{space 1}    4.90{col 46}{space 3}0.000{col 54}{space 4} .0873176{col 67}{space 3} .2037819
{txt}{space 6}deduc5 {c |}{col 14}{res}{space 2} .0238137{col 26}{space 2} .0306372{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.0362554{col 67}{space 3} .0838828
{txt}{space 6}deduc6 {c |}{col 14}{res}{space 2}  .005284{col 26}{space 2} .0348189{col 37}{space 1}    0.15{col 46}{space 3}0.879{col 54}{space 4}-.0629838{col 67}{space 3} .0735518
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0828869{col 26}{space 2} .0638677{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.0423358{col 67}{space 3} .2081096
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.  estimates store Post
{txt}
{com}.  coefplot Pre Post  , drop(_cons )  xline(0) title("Demographics, Renters w/o Utilities vs with Utilities Included") 
{res}{txt}
{com}.  graph export demographics.png, replace 
{txt}{p 0 4 2}
file {bf}
demographics.png{rm}
saved as
PNG
format
{p_end}

{com}.  
.   *Using estout package for LatexTables           
. est clear
{res}{txt}
{com}.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5325
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1200

{txt}R-sq:  Within  = {res}0.0126                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0093                                        {txt}avg = {res}      4.4
{txt}       Overall = {res}0.0091                                        {txt}max = {res}       12

                                                {txt}F({res}12{txt},{res}1199{txt})         = {res}     3.51
{txt}corr(u_i, Xb)  = {res}0.0250                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,200} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0542324{col 26}{space 2} .0178241{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .0192626{col 67}{space 3} .0892022
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0196128{col 26}{space 2}  .021278{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4}-.0221334{col 67}{space 3}  .061359
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0070654{col 26}{space 2} .0209185{col 37}{space 1}    0.34{col 46}{space 3}0.736{col 54}{space 4}-.0339756{col 67}{space 3} .0481063
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0347598{col 26}{space 2} .0210231{col 37}{space 1}   -1.65{col 46}{space 3}0.099{col 54}{space 4}-.0760059{col 67}{space 3} .0064864
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} -.046143{col 26}{space 2}  .022229{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4} -.089755{col 67}{space 3} -.002531
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0414374{col 26}{space 2} .0222382{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4}-.0850675{col 67}{space 3} .0021928
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0346025{col 26}{space 2} .0246344{col 37}{space 1}   -1.40{col 46}{space 3}0.160{col 54}{space 4}-.0829339{col 67}{space 3} .0137288
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0467061{col 26}{space 2} .0239135{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4} -.093623{col 67}{space 3} .0002108
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0589819{col 26}{space 2} .0259299{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-.1098548{col 67}{space 3} -.008109
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0411391{col 26}{space 2} .0268169{col 37}{space 1}   -1.53{col 46}{space 3}0.125{col 54}{space 4}-.0937524{col 67}{space 3} .0114743
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0498341{col 26}{space 2} .0270894{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4}-.1029819{col 67}{space 3} .0033138
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0327673{col 26}{space 2} .0267853{col 37}{space 1}   -1.22{col 46}{space 3}0.221{col 54}{space 4}-.0853186{col 67}{space 3} .0197841
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1670104{col 26}{space 2} .0191155{col 37}{space 1}    8.74{col 46}{space 3}0.000{col 54}{space 4}  .129507{col 67}{space 3} .2045139
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30917625
     {txt}sigma_e {c |} {res} .21325262
         {txt}rho {c |} {res}  .6776227{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  extremeright ATET i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5029
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1140

{txt}R-sq:  Within  = {res}0.0170                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0294                                        {txt}avg = {res}      4.4
{txt}       Overall = {res}0.0307                                        {txt}max = {res}       12

                                                {txt}F({res}23{txt},{res}1139{txt})         = {res}     2.25
{txt}corr(u_i, Xb)  = {res}-0.0527                        {txt}Prob > F           =    {res}0.0007

{txt}{ralign 90:(Std. err. adjusted for {res:1,140} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0526342{col 38}{space 2} .0190902{col 49}{space 1}    2.76{col 58}{space 3}0.006{col 66}{space 4} .0151783{col 79}{space 3} .0900901
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0539056{col 38}{space 2}   .07427{col 49}{space 1}    0.73{col 58}{space 3}0.468{col 66}{space 4}-.0918157{col 79}{space 3}  .199627
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0595959{col 38}{space 2} .0824673{col 49}{space 1}   -0.72{col 58}{space 3}0.470{col 66}{space 4}-.2214008{col 79}{space 3}  .102209
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0748527{col 38}{space 2}  .061769{col 49}{space 1}   -1.21{col 58}{space 3}0.226{col 66}{space 4}-.1960465{col 79}{space 3} .0463411
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0995544{col 38}{space 2}   .07634{col 49}{space 1}   -1.30{col 58}{space 3}0.192{col 66}{space 4}-.2493373{col 79}{space 3} .0502284
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.1088417{col 38}{space 2} .0714942{col 49}{space 1}   -1.52{col 58}{space 3}0.128{col 66}{space 4}-.2491168{col 79}{space 3} .0314333
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .000741{col 38}{space 2} .0029278{col 49}{space 1}    0.25{col 58}{space 3}0.800{col 66}{space 4}-.0050034{col 79}{space 3} .0064854
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0005623{col 38}{space 2}  .034551{col 49}{space 1}    0.02{col 58}{space 3}0.987{col 66}{space 4}-.0672285{col 79}{space 3} .0683531
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}  .013232{col 38}{space 2} .0165615{col 49}{space 1}    0.80{col 58}{space 3}0.424{col 66}{space 4}-.0192626{col 79}{space 3} .0457266
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0032805{col 38}{space 2} .0397973{col 49}{space 1}    0.08{col 58}{space 3}0.934{col 66}{space 4}-.0748037{col 79}{space 3} .0813647
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0646465{col 38}{space 2} .0389603{col 49}{space 1}    1.66{col 58}{space 3}0.097{col 66}{space 4}-.0117955{col 79}{space 3} .1410885
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0346245{col 38}{space 2} .0220443{col 49}{space 1}    1.57{col 58}{space 3}0.117{col 66}{space 4}-.0086276{col 79}{space 3} .0778765
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0245367{col 38}{space 2} .0219247{col 49}{space 1}    1.12{col 58}{space 3}0.263{col 66}{space 4}-.0184807{col 79}{space 3} .0675541
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0085254{col 38}{space 2} .0221895{col 49}{space 1}    0.38{col 58}{space 3}0.701{col 66}{space 4}-.0350115{col 79}{space 3} .0520622
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0349336{col 38}{space 2} .0222375{col 49}{space 1}   -1.57{col 58}{space 3}0.116{col 66}{space 4}-.0785647{col 79}{space 3} .0086976
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0497858{col 38}{space 2} .0234502{col 49}{space 1}   -2.12{col 58}{space 3}0.034{col 66}{space 4}-.0957963{col 79}{space 3}-.0037752
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0440155{col 38}{space 2}   .02323{col 49}{space 1}   -1.89{col 58}{space 3}0.058{col 66}{space 4}-.0895939{col 79}{space 3}  .001563
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0371458{col 38}{space 2} .0264613{col 49}{space 1}   -1.40{col 58}{space 3}0.161{col 66}{space 4}-.0890642{col 79}{space 3} .0147725
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} -.046878{col 38}{space 2}  .025813{col 49}{space 1}   -1.82{col 58}{space 3}0.070{col 66}{space 4}-.0975244{col 79}{space 3} .0037683
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} -.060404{col 38}{space 2}  .028027{col 49}{space 1}   -2.16{col 58}{space 3}0.031{col 66}{space 4}-.1153945{col 79}{space 3}-.0054136
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0433185{col 38}{space 2} .0291019{col 49}{space 1}   -1.49{col 58}{space 3}0.137{col 66}{space 4}-.1004179{col 79}{space 3} .0137809
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0530318{col 38}{space 2} .0293909{col 49}{space 1}   -1.80{col 58}{space 3}0.071{col 66}{space 4}-.1106981{col 79}{space 3} .0046346
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0321405{col 38}{space 2} .0296697{col 49}{space 1}   -1.08{col 58}{space 3}0.279{col 66}{space 4}-.0903539{col 79}{space 3}  .026073
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1806635{col 38}{space 2} .0567544{col 49}{space 1}    3.18{col 58}{space 3}0.001{col 66}{space 4} .0693085{col 79}{space 3} .2920185
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .31013977
                 {txt}sigma_e {c |} {res} .21608066
                     {txt}rho {c |} {res} .67321067{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET rentGWE i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,808
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,213

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0129{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0013{col 63}{txt}avg{col 67}={col 69}{res}       4.8
{txt}     Overall = {res}0.0045{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}1212{txt}){col 67}={col 70}{res}     4.02
{txt}corr(u_i, Xb) = {res}0.0001{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,213} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0637566{col 26}{space 2} .0179958{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .0284502{col 67}{space 3}  .099063
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2}-.0408468{col 26}{space 2} .0191525{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-.0784225{col 67}{space 3}-.0032711
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}    .0257{col 26}{space 2} .0198207{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4}-.0131867{col 67}{space 3} .0645867
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0201798{col 26}{space 2} .0192991{col 37}{space 1}    1.05{col 46}{space 3}0.296{col 54}{space 4}-.0176837{col 67}{space 3} .0580432
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0276649{col 26}{space 2}  .019341{col 37}{space 1}   -1.43{col 46}{space 3}0.153{col 54}{space 4}-.0656104{col 67}{space 3} .0102806
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0373387{col 26}{space 2} .0204971{col 37}{space 1}   -1.82{col 46}{space 3}0.069{col 54}{space 4}-.0775525{col 67}{space 3} .0028751
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0318911{col 26}{space 2} .0205822{col 37}{space 1}   -1.55{col 46}{space 3}0.122{col 54}{space 4}-.0722719{col 67}{space 3} .0084896
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0331299{col 26}{space 2} .0232066{col 37}{space 1}   -1.43{col 46}{space 3}0.154{col 54}{space 4}-.0786594{col 67}{space 3} .0123997
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0430962{col 26}{space 2} .0226242{col 37}{space 1}   -1.90{col 46}{space 3}0.057{col 54}{space 4}-.0874832{col 67}{space 3} .0012909
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0613557{col 26}{space 2} .0242862{col 37}{space 1}   -2.53{col 46}{space 3}0.012{col 54}{space 4}-.1090033{col 67}{space 3}-.0137082
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0431626{col 26}{space 2} .0250727{col 37}{space 1}   -1.72{col 46}{space 3}0.085{col 54}{space 4}-.0923532{col 67}{space 3} .0060281
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0511389{col 26}{space 2} .0249065{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-.1000035{col 67}{space 3}-.0022743
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0416439{col 26}{space 2} .0248979{col 37}{space 1}   -1.67{col 46}{space 3}0.095{col 54}{space 4}-.0904917{col 67}{space 3} .0072039
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1886082{col 26}{space 2} .0193082{col 37}{space 1}    9.77{col 46}{space 3}0.000{col 54}{space 4} .1507269{col 67}{space 3} .2264894
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30564576
     {txt}sigma_e {c |} {res} .21353501
         {txt}rho {c |} {res} .67200159{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  extremeright ATET rentGWE i.oplcat   lninc i.employ  i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,485
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,153

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0168{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0077{col 63}{txt}avg{col 67}={col 69}{res}       4.8
{txt}     Overall = {res}0.0127{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1152{txt}){col 67}={col 70}{res}     2.48
{txt}corr(u_i, Xb) = {res}-0.0711{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0001

{txt}{ralign 90:(Std. err. adjusted for {res:1,153} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0636551{col 38}{space 2} .0194444{col 49}{space 1}    3.27{col 58}{space 3}0.001{col 66}{space 4} .0255047{col 79}{space 3} .1018055
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2} -.038916{col 38}{space 2} .0203858{col 49}{space 1}   -1.91{col 58}{space 3}0.057{col 66}{space 4}-.0789134{col 79}{space 3} .0010815
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0466059{col 38}{space 2} .0759634{col 49}{space 1}    0.61{col 58}{space 3}0.540{col 66}{space 4}-.1024362{col 79}{space 3} .1956481
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0228646{col 38}{space 2} .0784949{col 49}{space 1}   -0.29{col 58}{space 3}0.771{col 66}{space 4}-.1768735{col 79}{space 3} .1311443
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0865508{col 38}{space 2} .0639435{col 49}{space 1}   -1.35{col 58}{space 3}0.176{col 66}{space 4}-.2120095{col 79}{space 3}  .038908
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0530294{col 38}{space 2} .0793167{col 49}{space 1}   -0.67{col 58}{space 3}0.504{col 66}{space 4}-.2086508{col 79}{space 3} .1025921
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0540628{col 38}{space 2} .0725977{col 49}{space 1}   -0.74{col 58}{space 3}0.457{col 66}{space 4}-.1965014{col 79}{space 3} .0883757
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0008756{col 38}{space 2} .0028442{col 49}{space 1}    0.31{col 58}{space 3}0.758{col 66}{space 4}-.0047048{col 79}{space 3}  .006456
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0005418{col 38}{space 2} .0354181{col 49}{space 1}    0.02{col 58}{space 3}0.988{col 66}{space 4}-.0689493{col 79}{space 3} .0700329
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0123415{col 38}{space 2} .0154343{col 49}{space 1}    0.80{col 58}{space 3}0.424{col 66}{space 4} -.017941{col 79}{space 3}  .042624
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}   .00507{col 38}{space 2}  .033434{col 49}{space 1}    0.15{col 58}{space 3}0.879{col 66}{space 4}-.0605285{col 79}{space 3} .0706684
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0523534{col 38}{space 2} .0352858{col 49}{space 1}    1.48{col 58}{space 3}0.138{col 66}{space 4}-.0168783{col 79}{space 3} .1215851
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0286625{col 38}{space 2} .0200646{col 49}{space 1}    1.43{col 58}{space 3}0.153{col 66}{space 4}-.0107047{col 79}{space 3} .0680298
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0301069{col 38}{space 2} .0203797{col 49}{space 1}    1.48{col 58}{space 3}0.140{col 66}{space 4}-.0098786{col 79}{space 3} .0700924
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0211955{col 38}{space 2} .0204366{col 49}{space 1}    1.04{col 58}{space 3}0.300{col 66}{space 4}-.0189016{col 79}{space 3} .0612926
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0281844{col 38}{space 2} .0204189{col 49}{space 1}   -1.38{col 58}{space 3}0.168{col 66}{space 4}-.0682469{col 79}{space 3} .0118781
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0412319{col 38}{space 2} .0217207{col 49}{space 1}   -1.90{col 58}{space 3}0.058{col 66}{space 4}-.0838485{col 79}{space 3} .0013847
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0351335{col 38}{space 2} .0215248{col 49}{space 1}   -1.63{col 58}{space 3}0.103{col 66}{space 4}-.0773657{col 79}{space 3} .0070987
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0371113{col 38}{space 2} .0251074{col 49}{space 1}   -1.48{col 58}{space 3}0.140{col 66}{space 4}-.0863726{col 79}{space 3}   .01215
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0440323{col 38}{space 2} .0245847{col 49}{space 1}   -1.79{col 58}{space 3}0.074{col 66}{space 4}-.0922681{col 79}{space 3} .0042035
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0648618{col 38}{space 2}  .026512{col 49}{space 1}   -2.45{col 58}{space 3}0.015{col 66}{space 4}-.1168789{col 79}{space 3}-.0128447
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0486807{col 38}{space 2} .0275035{col 49}{space 1}   -1.77{col 58}{space 3}0.077{col 66}{space 4}-.1026433{col 79}{space 3} .0052819
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0531845{col 38}{space 2} .0271934{col 49}{space 1}   -1.96{col 58}{space 3}0.051{col 66}{space 4}-.1065386{col 79}{space 3} .0001697
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0415912{col 38}{space 2} .0276803{col 49}{space 1}   -1.50{col 58}{space 3}0.133{col 66}{space 4}-.0959007{col 79}{space 3} .0127183
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1916901{col 38}{space 2} .0571586{col 49}{space 1}    3.35{col 58}{space 3}0.001{col 66}{space 4} .0795436{col 79}{space 3} .3038366
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .31144707
                 {txt}sigma_e {c |} {res}  .2160504
                     {txt}rho {c |} {res} .67512018{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5744
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1240

{txt}R-sq:  Within  = {res}0.0175                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0049                                        {txt}avg = {res}      4.6
{txt}       Overall = {res}0.0068                                        {txt}max = {res}       11

                                                {txt}F({res}11{txt},{res}1239{txt})         = {res}     6.34
{txt}corr(u_i, Xb)  = {res}0.0211                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,240} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .2941004{col 26}{space 2} .1448772{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0098687{col 67}{space 3} .5783321
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1144653{col 26}{space 2} .1369435{col 37}{space 1}    0.84{col 46}{space 3}0.403{col 54}{space 4}-.1542015{col 67}{space 3} .3831322
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .2154597{col 26}{space 2} .1455473{col 37}{space 1}    1.48{col 46}{space 3}0.139{col 54}{space 4}-.0700866{col 67}{space 3} .5010061
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2573405{col 26}{space 2} .1536562{col 37}{space 1}    1.67{col 46}{space 3}0.094{col 54}{space 4}-.0441146{col 67}{space 3} .5587956
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .5593497{col 26}{space 2} .1507292{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .2636371{col 67}{space 3} .8550623
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .2755851{col 26}{space 2} .1815801{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.0806533{col 67}{space 3} .6318235
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .4258404{col 26}{space 2} .1854576{col 37}{space 1}    2.30{col 46}{space 3}0.022{col 54}{space 4} .0619948{col 67}{space 3}  .789686
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0381109{col 26}{space 2} .1862789{col 37}{space 1}   -0.20{col 46}{space 3}0.838{col 54}{space 4}-.4035679{col 67}{space 3} .3273461
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .3807222{col 26}{space 2} .1938031{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4} .0005037{col 67}{space 3} .7609407
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2809998{col 26}{space 2} .1963965{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4}-.1043067{col 67}{space 3} .6663063
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .4256153{col 26}{space 2} .2096554{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0142965{col 67}{space 3} .8369342
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.111769{col 26}{space 2}  .131633{col 37}{space 1}  -16.04{col 46}{space 3}0.000{col 54}{space 4}-2.370017{col 67}{space 3} -1.85352
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.3368535
     {txt}sigma_e {c |} {res} 1.6344156
         {txt}rho {c |} {res} .80650931{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  PVVsympmean ATET i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5432
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1185

{txt}R-sq:  Within  = {res}0.0265                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.1094                                        {txt}avg = {res}      4.6
{txt}       Overall = {res}0.0978                                        {txt}max = {res}       11

                                                {txt}F({res}22{txt},{res}1184{txt})         = {res}     4.37
{txt}corr(u_i, Xb)  = {res}0.1521                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,185} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2695004{col 38}{space 2} .1546577{col 49}{space 1}    1.74{col 58}{space 3}0.082{col 66}{space 4}-.0339334{col 79}{space 3} .5729341
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .7044389{col 38}{space 2} .5237134{col 49}{space 1}    1.35{col 58}{space 3}0.179{col 66}{space 4}-.3230708{col 79}{space 3} 1.731949
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}  .233663{col 38}{space 2} .5989253{col 49}{space 1}    0.39{col 58}{space 3}0.697{col 66}{space 4}-.9414102{col 79}{space 3} 1.408736
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .4121165{col 38}{space 2} .4672086{col 49}{space 1}    0.88{col 58}{space 3}0.378{col 66}{space 4}-.5045325{col 79}{space 3} 1.328766
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.4037394{col 38}{space 2} .6680263{col 49}{space 1}   -0.60{col 58}{space 3}0.546{col 66}{space 4}-1.714387{col 79}{space 3}  .906908
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-1.310386{col 38}{space 2} .7472816{col 49}{space 1}   -1.75{col 58}{space 3}0.080{col 66}{space 4} -2.77653{col 79}{space 3} .1557578
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0065965{col 38}{space 2} .0435199{col 49}{space 1}   -0.15{col 58}{space 3}0.880{col 66}{space 4}-.0919813{col 79}{space 3} .0787883
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0657129{col 38}{space 2} .2585624{col 49}{space 1}   -0.25{col 58}{space 3}0.799{col 66}{space 4}-.5730045{col 79}{space 3} .4415787
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} -.131684{col 38}{space 2} .1755017{col 49}{space 1}   -0.75{col 58}{space 3}0.453{col 66}{space 4}-.4760131{col 79}{space 3}  .212645
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.2648698{col 38}{space 2} .3567402{col 49}{space 1}   -0.74{col 58}{space 3}0.458{col 66}{space 4}-.9647832{col 79}{space 3} .4350436
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0547153{col 38}{space 2} .3320927{col 49}{space 1}   -0.16{col 58}{space 3}0.869{col 66}{space 4} -.706271{col 79}{space 3} .5968404
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0314379{col 38}{space 2} .1899274{col 49}{space 1}   -0.17{col 58}{space 3}0.869{col 66}{space 4}-.4040698{col 79}{space 3} .3411939
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1298409{col 38}{space 2} .1353941{col 49}{space 1}    0.96{col 58}{space 3}0.338{col 66}{space 4}-.1357982{col 79}{space 3}   .39548
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2198924{col 38}{space 2} .1500567{col 49}{space 1}    1.47{col 58}{space 3}0.143{col 66}{space 4}-.0745143{col 79}{space 3} .5142992
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2783953{col 38}{space 2} .1586729{col 49}{space 1}    1.75{col 58}{space 3}0.080{col 66}{space 4}-.0329162{col 79}{space 3} .5897067
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .6157924{col 38}{space 2} .1533763{col 49}{space 1}    4.01{col 58}{space 3}0.000{col 66}{space 4} .3148727{col 79}{space 3} .9167121
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3348359{col 38}{space 2} .1921903{col 49}{space 1}    1.74{col 58}{space 3}0.082{col 66}{space 4}-.0422356{col 79}{space 3} .7119074
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .4892972{col 38}{space 2} .1969823{col 49}{space 1}    2.48{col 58}{space 3}0.013{col 66}{space 4}  .102824{col 79}{space 3} .8757704
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0117027{col 38}{space 2} .1996457{col 49}{space 1}    0.06{col 58}{space 3}0.953{col 66}{space 4}-.3799962{col 79}{space 3} .4034015
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4398687{col 38}{space 2} .2094503{col 49}{space 1}    2.10{col 58}{space 3}0.036{col 66}{space 4} .0289337{col 79}{space 3} .8508038
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3520072{col 38}{space 2} .2133155{col 49}{space 1}    1.65{col 58}{space 3}0.099{col 66}{space 4}-.0665113{col 79}{space 3} .7705256
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .5318676{col 38}{space 2} .2261237{col 49}{space 1}    2.35{col 58}{space 3}0.019{col 66}{space 4} .0882197{col 79}{space 3} .9755155
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.176708{col 38}{space 2} .5541182{col 49}{space 1}   -3.93{col 58}{space 3}0.000{col 66}{space 4}-3.263871{col 79}{space 3}-1.089545
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.2024781
                 {txt}sigma_e {c |} {res} 1.6236043
                     {txt}rho {c |} {res} .79552437{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET rentGWE i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,281
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,246

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0170{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0029{col 63}{txt}avg{col 67}={col 69}{res}       5.0
{txt}     Overall = {res}0.0053{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}1245{txt}){col 67}={col 70}{res}     6.95
{txt}corr(u_i, Xb) = {res}0.0129{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,246} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}  .321935{col 26}{space 2} .1475595{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0324423{col 67}{space 3} .6114277
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2}-.0411614{col 26}{space 2} .1463383{col 37}{space 1}   -0.28{col 46}{space 3}0.779{col 54}{space 4}-.3282583{col 67}{space 3} .2459356
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1362385{col 26}{space 2} .1194639{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4}-.0981342{col 67}{space 3} .3706113
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .2021216{col 26}{space 2} .1297924{col 37}{space 1}    1.56{col 46}{space 3}0.120{col 54}{space 4}-.0525144{col 67}{space 3} .4567576
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2178491{col 26}{space 2} .1383583{col 37}{space 1}    1.57{col 46}{space 3}0.116{col 54}{space 4}-.0535921{col 67}{space 3} .4892903
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .5359991{col 26}{space 2} .1357675{col 37}{space 1}    3.95{col 46}{space 3}0.000{col 54}{space 4} .2696407{col 67}{space 3} .8023575
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .2305425{col 26}{space 2} .1793561{col 37}{space 1}    1.29{col 46}{space 3}0.199{col 54}{space 4}-.1213311{col 67}{space 3}  .582416
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3781651{col 26}{space 2} .1775132{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0299071{col 67}{space 3} .7264231
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.1248216{col 26}{space 2} .1847552{col 37}{space 1}   -0.68{col 46}{space 3}0.499{col 54}{space 4}-.4872875{col 67}{space 3} .2376442
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .3321069{col 26}{space 2} .1849018{col 37}{space 1}    1.80{col 46}{space 3}0.073{col 54}{space 4}-.0306466{col 67}{space 3} .6948603
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2256513{col 26}{space 2} .1902924{col 37}{space 1}    1.19{col 46}{space 3}0.236{col 54}{space 4}-.1476778{col 67}{space 3} .5989805
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .3160096{col 26}{space 2} .1992559{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0749049{col 67}{space 3}  .706924
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.119535{col 26}{space 2} .1624283{col 37}{space 1}  -13.05{col 46}{space 3}0.000{col 54}{space 4}-2.438199{col 67}{space 3}-1.800872
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.3163093
     {txt}sigma_e {c |} {res} 1.6488836
         {txt}rho {c |} {res} .80178817{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  PVVsympmean ATET rentGWE i.oplcat   lninc i.employ  i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,940
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,194

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0249{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0557{col 63}{txt}avg{col 67}={col 69}{res}       5.0
{txt}     Overall = {res}0.0520{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}23{txt},{res}1193{txt}){col 67}={col 70}{res}     5.00
{txt}corr(u_i, Xb) = {res}0.0995{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,194} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2672415{col 38}{space 2} .1575778{col 49}{space 1}    1.70{col 58}{space 3}0.090{col 66}{space 4}-.0419191{col 79}{space 3}  .576402
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2}  .018281{col 38}{space 2} .1519546{col 49}{space 1}    0.12{col 58}{space 3}0.904{col 66}{space 4} -.279847{col 79}{space 3} .3164091
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .7384753{col 38}{space 2} .5182801{col 49}{space 1}    1.42{col 58}{space 3}0.154{col 66}{space 4}-.2783667{col 79}{space 3} 1.755317
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .5240136{col 38}{space 2} .6018228{col 49}{space 1}    0.87{col 58}{space 3}0.384{col 66}{space 4}-.6567354{col 79}{space 3} 1.704763
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .2985865{col 38}{space 2}  .478064{col 49}{space 1}    0.62{col 58}{space 3}0.532{col 66}{space 4}-.6393534{col 79}{space 3} 1.236526
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .3407812{col 38}{space 2} .7220822{col 49}{space 1}    0.47{col 58}{space 3}0.637{col 66}{space 4}-1.075911{col 79}{space 3} 1.757474
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.8651388{col 38}{space 2} .7628066{col 49}{space 1}   -1.13{col 58}{space 3}0.257{col 66}{space 4}-2.361731{col 79}{space 3}  .631453
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0234093{col 38}{space 2} .0379404{col 49}{space 1}   -0.62{col 58}{space 3}0.537{col 66}{space 4}-.0978467{col 79}{space 3} .0510281
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0227593{col 38}{space 2} .2309332{col 49}{space 1}   -0.10{col 58}{space 3}0.922{col 66}{space 4}-.4758398{col 79}{space 3} .4303212
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0149593{col 38}{space 2} .1826098{col 49}{space 1}    0.08{col 58}{space 3}0.935{col 66}{space 4}-.3433129{col 79}{space 3} .3732315
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0583324{col 38}{space 2} .3342146{col 49}{space 1}    0.17{col 58}{space 3}0.861{col 66}{space 4}-.5973814{col 79}{space 3} .7140462
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0686167{col 38}{space 2} .3203039{col 49}{space 1}   -0.21{col 58}{space 3}0.830{col 66}{space 4}-.6970384{col 79}{space 3} .5598049
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0663863{col 38}{space 2} .1894303{col 49}{space 1}    0.35{col 58}{space 3}0.726{col 66}{space 4}-.3052674{col 79}{space 3}   .43804
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}  .154032{col 38}{space 2} .1186359{col 49}{space 1}    1.30{col 58}{space 3}0.194{col 66}{space 4}-.0787263{col 79}{space 3} .3867903
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1968076{col 38}{space 2} .1343749{col 49}{space 1}    1.46{col 58}{space 3}0.143{col 66}{space 4}-.0668297{col 79}{space 3} .4604449
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2370762{col 38}{space 2} .1441188{col 49}{space 1}    1.65{col 58}{space 3}0.100{col 66}{space 4}-.0456784{col 79}{space 3} .5198307
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .5864679{col 38}{space 2} .1389478{col 49}{space 1}    4.22{col 58}{space 3}0.000{col 66}{space 4} .3138585{col 79}{space 3} .8590772
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3035048{col 38}{space 2} .1892367{col 49}{space 1}    1.60{col 58}{space 3}0.109{col 66}{space 4}-.0677689{col 79}{space 3} .6747785
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}  .455148{col 38}{space 2} .1881826{col 49}{space 1}    2.42{col 58}{space 3}0.016{col 66}{space 4} .0859422{col 79}{space 3} .8243538
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0597663{col 38}{space 2} .1961807{col 49}{space 1}   -0.30{col 58}{space 3}0.761{col 66}{space 4}-.4446639{col 79}{space 3} .3251313
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}  .390381{col 38}{space 2} .1978281{col 49}{space 1}    1.97{col 58}{space 3}0.049{col 66}{space 4} .0022513{col 79}{space 3} .7785107
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3109053{col 38}{space 2} .2052791{col 49}{space 1}    1.51{col 58}{space 3}0.130{col 66}{space 4} -.091843{col 79}{space 3} .7136537
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .4179271{col 38}{space 2} .2143935{col 49}{space 1}    1.95{col 58}{space 3}0.051{col 66}{space 4}-.0027032{col 79}{space 3} .8385573
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.352463{col 38}{space 2} .5325906{col 49}{space 1}   -4.42{col 58}{space 3}0.000{col 66}{space 4}-3.397382{col 79}{space 3}-1.307545
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.2608659
                 {txt}sigma_e {c |} {res} 1.6395049
                     {txt}rho {c |} {res}  .7982185{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
.   
. esttab using "regression1.tex", replace f   ///
>  b(2) se(2) ///
>  keep(ATET) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1.tex"'})

{com}.   
.   *Table with all the control variables
.   esttab using "regression1appendix.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1appendix.tex"'})

{com}.   
.  est clear
{res}{txt}
{com}.  
.  
.  *Tables with shorter time intervals
.  
.  
.   *Using estout package for LatexTables           
. est clear
{txt}
{com}.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET  i.year if include==1 & (year>2010 & year<2018) , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     3177
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1009

{txt}R-sq:  Within  = {res}0.0153                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0108                                        {txt}avg = {res}      3.1
{txt}       Overall = {res}0.0087                                        {txt}max = {res}        6

                                                {txt}F({res}6{txt},{res}1008{txt})          = {res}     3.19
{txt}corr(u_i, Xb)  = {res}0.0204                         {txt}Prob > F           =    {res}0.0041

{txt}{ralign 78:(Std. err. adjusted for {res:1,009} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0541606{col 26}{space 2} .0204096{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .0141104{col 67}{space 3} .0942107
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2012  {c |}{col 14}{res}{space 2}-.0108378{col 26}{space 2} .0126189{col 37}{space 1}   -0.86{col 46}{space 3}0.391{col 54}{space 4}-.0356002{col 67}{space 3} .0139246
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0010036{col 26}{space 2} .0132312{col 37}{space 1}   -0.08{col 46}{space 3}0.940{col 54}{space 4}-.0269674{col 67}{space 3} .0249602
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0038641{col 26}{space 2} .0186346{col 37}{space 1}    0.21{col 46}{space 3}0.836{col 54}{space 4}-.0327029{col 67}{space 3} .0404312
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0071749{col 26}{space 2} .0184013{col 37}{space 1}   -0.39{col 46}{space 3}0.697{col 54}{space 4}-.0432842{col 67}{space 3} .0289344
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0202037{col 26}{space 2} .0208313{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4}-.0610814{col 67}{space 3}  .020674
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1279704{col 26}{space 2} .0100769{col 37}{space 1}   12.70{col 46}{space 3}0.000{col 54}{space 4} .1081964{col 67}{space 3} .1477445
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30362496
     {txt}sigma_e {c |} {res} .20167432
         {txt}rho {c |} {res} .69387075{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  extremeright ATET i.oplcat   lninc i.employ  i.year if include==1 & (year>2010 & year<2018), fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     3003
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      949

{txt}R-sq:  Within  = {res}0.0187                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0057                                        {txt}avg = {res}      3.2
{txt}       Overall = {res}0.0042                                        {txt}max = {res}        6

                                                {txt}F({res}17{txt},{res}948{txt})          = {res}     1.27
{txt}corr(u_i, Xb)  = {res}-0.0706                        {txt}Prob > F           =    {res}0.2071

{txt}{ralign 90:(Std. err. adjusted for {res:949} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0571565{col 38}{space 2} .0223125{col 49}{space 1}    2.56{col 58}{space 3}0.011{col 66}{space 4}  .013369{col 79}{space 3} .1009441
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} -.026015{col 38}{space 2} .0441268{col 49}{space 1}   -0.59{col 58}{space 3}0.556{col 66}{space 4}-.1126125{col 79}{space 3} .0605824
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0109237{col 38}{space 2} .0340005{col 49}{space 1}    0.32{col 58}{space 3}0.748{col 66}{space 4}-.0558012{col 79}{space 3} .0776487
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0430946{col 38}{space 2} .0705984{col 49}{space 1}    0.61{col 58}{space 3}0.542{col 66}{space 4}-.0954527{col 79}{space 3} .1816419
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0121565{col 38}{space 2}  .054031{col 49}{space 1}    0.22{col 58}{space 3}0.822{col 66}{space 4}-.0938777{col 79}{space 3} .1181906
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0100247{col 38}{space 2} .0402227{col 49}{space 1}   -0.25{col 58}{space 3}0.803{col 66}{space 4}-.0889606{col 79}{space 3} .0689112
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0063684{col 38}{space 2}  .003628{col 49}{space 1}   -1.76{col 58}{space 3}0.080{col 66}{space 4}-.0134881{col 79}{space 3} .0007514
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0599598{col 38}{space 2} .0640641{col 49}{space 1}   -0.94{col 58}{space 3}0.350{col 66}{space 4}-.1856837{col 79}{space 3}  .065764
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0206308{col 38}{space 2} .0207079{col 49}{space 1}   -1.00{col 58}{space 3}0.319{col 66}{space 4}-.0612694{col 79}{space 3} .0200079
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0611454{col 38}{space 2} .0559495{col 49}{space 1}   -1.09{col 58}{space 3}0.275{col 66}{space 4}-.1709446{col 79}{space 3} .0486537
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}  .081207{col 38}{space 2} .0660381{col 49}{space 1}    1.23{col 58}{space 3}0.219{col 66}{space 4}-.0483907{col 79}{space 3} .2108046
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0019437{col 38}{space 2}  .031851{col 49}{space 1}    0.06{col 58}{space 3}0.951{col 66}{space 4}-.0605628{col 79}{space 3} .0644503
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2012  {c |}{col 26}{res}{space 2}-.0121923{col 38}{space 2} .0133902{col 49}{space 1}   -0.91{col 58}{space 3}0.363{col 66}{space 4}-.0384702{col 79}{space 3} .0140856
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0020449{col 38}{space 2} .0138814{col 49}{space 1}   -0.15{col 58}{space 3}0.883{col 66}{space 4}-.0292867{col 79}{space 3}  .025197
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0002978{col 38}{space 2} .0206586{col 49}{space 1}    0.01{col 58}{space 3}0.989{col 66}{space 4}-.0402441{col 79}{space 3} .0408397
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0093555{col 38}{space 2} .0206809{col 49}{space 1}   -0.45{col 58}{space 3}0.651{col 66}{space 4}-.0499412{col 79}{space 3} .0312302
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0245902{col 38}{space 2} .0232857{col 49}{space 1}   -1.06{col 58}{space 3}0.291{col 66}{space 4}-.0702877{col 79}{space 3} .0211074
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1799973{col 38}{space 2} .0487262{col 49}{space 1}    3.69{col 58}{space 3}0.000{col 66}{space 4} .0843736{col 79}{space 3}  .275621
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .30966451
                 {txt}sigma_e {c |} {res} .20517679
                     {txt}rho {c |} {res} .69492261{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET rentGWE i.year if include2==1 & (year>2010 & year<2018), fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     3,322
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,017

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0161{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0017{col 63}{txt}avg{col 67}={col 69}{res}       3.3
{txt}     Overall = {res}0.0052{col 63}{txt}max{col 67}={col 69}{res}         6

{txt}{col 49}F({res}7{txt},{res}1016{txt}){col 67}={col 70}{res}     3.36
{txt}corr(u_i, Xb) = {res}0.0025{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0015

{txt}{ralign 78:(Std. err. adjusted for {res:1,017} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}  .063958{col 26}{space 2} .0211831{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .0223904{col 67}{space 3} .1055256
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2} -.036729{col 26}{space 2} .0279298{col 37}{space 1}   -1.32{col 46}{space 3}0.189{col 54}{space 4}-.0915357{col 67}{space 3} .0180778
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2012  {c |}{col 14}{res}{space 2}-.0102841{col 26}{space 2} .0120647{col 37}{space 1}   -0.85{col 46}{space 3}0.394{col 54}{space 4}-.0339587{col 67}{space 3} .0133905
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0006763{col 26}{space 2} .0131259{col 37}{space 1}   -0.05{col 46}{space 3}0.959{col 54}{space 4}-.0264332{col 67}{space 3} .0250806
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} -.004101{col 26}{space 2} .0202254{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-.0437894{col 67}{space 3} .0355874
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0118139{col 26}{space 2} .0196406{col 37}{space 1}   -0.60{col 46}{space 3}0.548{col 54}{space 4}-.0503545{col 67}{space 3} .0267268
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0284647{col 26}{space 2} .0215547{col 37}{space 1}   -1.32{col 46}{space 3}0.187{col 54}{space 4}-.0707616{col 67}{space 3} .0138321
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1527917{col 26}{space 2} .0229076{col 37}{space 1}    6.67{col 46}{space 3}0.000{col 54}{space 4} .1078401{col 67}{space 3} .1977433
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30177364
     {txt}sigma_e {c |} {res} .19995217
         {txt}rho {c |} {res} .69491478{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  extremeright ATET rentGWE i.oplcat   lninc i.employ  i.year if include2==1 & (year>2010 & year<2018), fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     3,139
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       957

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0182{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0043{col 63}{txt}avg{col 67}={col 69}{res}       3.3
{txt}     Overall = {res}0.0052{col 63}{txt}max{col 67}={col 69}{res}         6

{txt}{col 49}F({res}18{txt},{res}956{txt}){col 67}={col 70}{res}     1.36
{txt}corr(u_i, Xb) = {res}-0.0304{txt}{col 49}Prob > F{col 67}={col 73}{res}0.1406

{txt}{ralign 90:(Std. err. adjusted for {res:957} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0635025{col 38}{space 2} .0233216{col 49}{space 1}    2.72{col 58}{space 3}0.007{col 66}{space 4}  .017735{col 79}{space 3}   .10927
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2}-.0320745{col 38}{space 2} .0296199{col 49}{space 1}   -1.08{col 58}{space 3}0.279{col 66}{space 4} -.090202{col 79}{space 3} .0260529
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} -.020663{col 38}{space 2} .0436146{col 49}{space 1}   -0.47{col 58}{space 3}0.636{col 66}{space 4}-.1062544{col 79}{space 3} .0649283
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0066659{col 38}{space 2} .0317598{col 49}{space 1}   -0.21{col 58}{space 3}0.834{col 66}{space 4}-.0689929{col 79}{space 3} .0556611
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0000188{col 38}{space 2} .0731024{col 49}{space 1}   -0.00{col 58}{space 3}1.000{col 66}{space 4}-.1434785{col 79}{space 3} .1434408
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0102363{col 38}{space 2} .0534016{col 49}{space 1}   -0.19{col 58}{space 3}0.848{col 66}{space 4}-.1150341{col 79}{space 3} .0945616
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0204251{col 38}{space 2} .0402981{col 49}{space 1}   -0.51{col 58}{space 3}0.612{col 66}{space 4} -.099508{col 79}{space 3} .0586579
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0052388{col 38}{space 2} .0035105{col 49}{space 1}   -1.49{col 58}{space 3}0.136{col 66}{space 4}-.0121279{col 79}{space 3} .0016503
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0380621{col 38}{space 2} .0639171{col 49}{space 1}   -0.60{col 58}{space 3}0.552{col 66}{space 4}-.1634963{col 79}{space 3}  .087372
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0198585{col 38}{space 2} .0206008{col 49}{space 1}   -0.96{col 58}{space 3}0.335{col 66}{space 4}-.0602866{col 79}{space 3} .0205696
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} -.044729{col 38}{space 2} .0460885{col 49}{space 1}   -0.97{col 58}{space 3}0.332{col 66}{space 4}-.1351752{col 79}{space 3} .0457173
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}  .073638{col 38}{space 2} .0624811{col 49}{space 1}    1.18{col 58}{space 3}0.239{col 66}{space 4}-.0489779{col 79}{space 3}  .196254
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0011971{col 38}{space 2} .0304794{col 49}{space 1}   -0.04{col 58}{space 3}0.969{col 66}{space 4}-.0610112{col 79}{space 3} .0586171
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2012  {c |}{col 26}{res}{space 2}-.0133705{col 38}{space 2} .0128146{col 49}{space 1}   -1.04{col 58}{space 3}0.297{col 66}{space 4}-.0385185{col 79}{space 3} .0117776
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0042082{col 38}{space 2} .0136143{col 49}{space 1}   -0.31{col 58}{space 3}0.757{col 66}{space 4}-.0309256{col 79}{space 3} .0225091
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} -.006734{col 38}{space 2} .0226891{col 49}{space 1}   -0.30{col 58}{space 3}0.767{col 66}{space 4}-.0512601{col 79}{space 3} .0377922
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0125588{col 38}{space 2} .0222902{col 49}{space 1}   -0.56{col 58}{space 3}0.573{col 66}{space 4}-.0563022{col 79}{space 3} .0311845
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0319868{col 38}{space 2} .0244249{col 49}{space 1}   -1.31{col 58}{space 3}0.191{col 66}{space 4}-.0799194{col 79}{space 3} .0159459
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2087115{col 38}{space 2} .0469674{col 49}{space 1}    4.44{col 58}{space 3}0.000{col 66}{space 4} .1165404{col 79}{space 3} .3008826
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .30733382
                 {txt}sigma_e {c |} {res} .20314821
                     {txt}rho {c |} {res} .69593134{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET  i.year if include==1 & (year>2010 & year<2018), fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     3184
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1007

{txt}R-sq:  Within  = {res}0.0210                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0131                                        {txt}avg = {res}      3.2
{txt}       Overall = {res}0.0076                                        {txt}max = {res}        5

                                                {txt}F({res}5{txt},{res}1006{txt})          = {res}    10.10
{txt}corr(u_i, Xb)  = {res}0.0313                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,007} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}  .336214{col 26}{space 2} .1572349{col 37}{space 1}    2.14{col 46}{space 3}0.033{col 54}{space 4} .0276681{col 67}{space 3} .6447599
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2013  {c |}{col 14}{res}{space 2} .3204982{col 26}{space 2} .0780597{col 37}{space 1}    4.11{col 46}{space 3}0.000{col 54}{space 4} .1673197{col 67}{space 3} .4736768
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} -.019151{col 26}{space 2} .1461439{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-.3059328{col 67}{space 3} .2676308
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .1615277{col 26}{space 2} .1554964{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.1436067{col 67}{space 3} .4666622
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.3134128{col 26}{space 2} .1554791{col 37}{space 1}   -2.02{col 46}{space 3}0.044{col 54}{space 4}-.6185133{col 67}{space 3}-.0083122
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} -1.90067{col 26}{space 2} .0643001{col 37}{space 1}  -29.56{col 46}{space 3}0.000{col 54}{space 4}-2.026848{col 67}{space 3}-1.774493
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.4515297
     {txt}sigma_e {c |} {res} 1.4763123
         {txt}rho {c |} {res} .84534401{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  PVVsympmean ATET i.oplcat   lninc i.employ  i.year if include==1 & (year>2010 & year<2018), fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     3025
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      955

{txt}R-sq:  Within  = {res}0.0326                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0286                                        {txt}avg = {res}      3.2
{txt}       Overall = {res}0.0184                                        {txt}max = {res}        5

                                                {txt}F({res}16{txt},{res}954{txt})          = {res}     4.76
{txt}corr(u_i, Xb)  = {res}-0.0074                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:955} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2934128{col 38}{space 2} .1663682{col 49}{space 1}    1.76{col 58}{space 3}0.078{col 66}{space 4}-.0330771{col 79}{space 3} .6199027
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} 1.143406{col 38}{space 2} .6786609{col 49}{space 1}    1.68{col 58}{space 3}0.092{col 66}{space 4}-.1884345{col 79}{space 3} 2.475247
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .8661103{col 38}{space 2}   .53025{col 49}{space 1}    1.63{col 58}{space 3}0.103{col 66}{space 4}-.1744809{col 79}{space 3} 1.906701
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} 1.079502{col 38}{space 2} .7790152{col 49}{space 1}    1.39{col 58}{space 3}0.166{col 66}{space 4}-.4492793{col 79}{space 3} 2.608283
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}  .985645{col 38}{space 2}  .652987{col 49}{space 1}    1.51{col 58}{space 3}0.132{col 66}{space 4}-.2958118{col 79}{space 3} 2.267102
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.1055911{col 38}{space 2} .6089058{col 49}{space 1}   -0.17{col 58}{space 3}0.862{col 66}{space 4}-1.300541{col 79}{space 3} 1.089358
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0137162{col 38}{space 2}  .052551{col 49}{space 1}    0.26{col 58}{space 3}0.794{col 66}{space 4}-.0894127{col 79}{space 3} .1168452
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.4322584{col 38}{space 2} .2809409{col 49}{space 1}   -1.54{col 58}{space 3}0.124{col 66}{space 4}-.9835919{col 79}{space 3} .1190752
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.2230337{col 38}{space 2} .2140616{col 49}{space 1}   -1.04{col 58}{space 3}0.298{col 66}{space 4}-.6431198{col 79}{space 3} .1970523
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.1455343{col 38}{space 2} .3397791{col 49}{space 1}   -0.43{col 58}{space 3}0.669{col 66}{space 4}-.8123349{col 79}{space 3} .5212664
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .3620934{col 38}{space 2} .5157184{col 49}{space 1}    0.70{col 58}{space 3}0.483{col 66}{space 4}-.6499802{col 79}{space 3} 1.374167
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.1916282{col 38}{space 2} .3302927{col 49}{space 1}   -0.58{col 58}{space 3}0.562{col 66}{space 4}-.8398124{col 79}{space 3} .4565559
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2013  {c |}{col 26}{res}{space 2}  .369537{col 38}{space 2} .0803948{col 49}{space 1}    4.60{col 58}{space 3}0.000{col 66}{space 4} .2117659{col 79}{space 3} .5273082
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0474239{col 38}{space 2} .1579757{col 49}{space 1}    0.30{col 58}{space 3}0.764{col 66}{space 4} -.262596{col 79}{space 3} .3574439
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .2392189{col 38}{space 2} .1724534{col 49}{space 1}    1.39{col 58}{space 3}0.166{col 66}{space 4} -.099213{col 79}{space 3} .5776507
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.2737641{col 38}{space 2} .1736352{col 49}{space 1}   -1.58{col 58}{space 3}0.115{col 66}{space 4} -.614515{col 79}{space 3} .0669869
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.749698{col 38}{space 2} .6389165{col 49}{space 1}   -4.30{col 58}{space 3}0.000{col 66}{space 4}-4.003542{col 79}{space 3}-1.495854
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.4229635
                 {txt}sigma_e {c |} {res} 1.4673479
                     {txt}rho {c |} {res}  .8447626{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET rentGWE i.year if include2==1 & (year>2010 & year<2018), fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     3,307
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,012

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0234{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0150{col 63}{txt}avg{col 67}={col 69}{res}       3.3
{txt}     Overall = {res}0.0094{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}6{txt},{res}1011{txt}){col 67}={col 70}{res}     9.86
{txt}corr(u_i, Xb) = {res}0.0367{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,012} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .2841525{col 26}{space 2} .1666336{col 37}{space 1}    1.71{col 46}{space 3}0.088{col 54}{space 4}-.0428347{col 67}{space 3} .6111398
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2} .0815376{col 26}{space 2} .1828293{col 37}{space 1}    0.45{col 46}{space 3}0.656{col 54}{space 4}-.2772308{col 67}{space 3} .4403059
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2013  {c |}{col 14}{res}{space 2} .3310907{col 26}{space 2} .0757494{col 37}{space 1}    4.37{col 46}{space 3}0.000{col 54}{space 4} .1824467{col 67}{space 3} .4797347
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0300056{col 26}{space 2} .1518391{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-.2679503{col 67}{space 3} .3279614
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .2066244{col 26}{space 2} .1591108{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.1056007{col 67}{space 3} .5188495
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.3051147{col 26}{space 2}  .163056{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4}-.6250817{col 67}{space 3} .0148522
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.003685{col 26}{space 2} .1515902{col 37}{space 1}  -13.22{col 46}{space 3}0.000{col 54}{space 4}-2.301152{col 67}{space 3}-1.706218
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.4421806
     {txt}sigma_e {c |} {res} 1.4872345
         {txt}rho {c |} {res} .84268905{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  PVVsympmean ATET rentGWE i.oplcat   lninc i.employ  i.year if include2==1 & (year>2010 & year<2018), fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     3,139
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       961

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0356{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0476{col 63}{txt}avg{col 67}={col 69}{res}       3.3
{txt}     Overall = {res}0.0338{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}17{txt},{res}960{txt}){col 67}={col 70}{res}     4.96
{txt}corr(u_i, Xb) = {res}0.0374{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:961} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .1983538{col 38}{space 2}  .179343{col 49}{space 1}    1.11{col 58}{space 3}0.269{col 66}{space 4}-.1535958{col 79}{space 3} .5503034
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2}  .185702{col 38}{space 2} .1947692{col 49}{space 1}    0.95{col 58}{space 3}0.341{col 66}{space 4}-.1965206{col 79}{space 3} .5679245
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} 1.166842{col 38}{space 2} .6658391{col 49}{space 1}    1.75{col 58}{space 3}0.080{col 66}{space 4}-.1398257{col 79}{space 3}  2.47351
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .8155324{col 38}{space 2} .4709826{col 49}{space 1}    1.73{col 58}{space 3}0.084{col 66}{space 4}-.1087418{col 79}{space 3} 1.739807
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .8105352{col 38}{space 2} .7500152{col 49}{space 1}    1.08{col 58}{space 3}0.280{col 66}{space 4}-.6613231{col 79}{space 3} 2.282394
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .7943414{col 38}{space 2} .6099571{col 49}{space 1}    1.30{col 58}{space 3}0.193{col 66}{space 4}-.4026617{col 79}{space 3} 1.991344
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.2037745{col 38}{space 2} .5893166{col 49}{space 1}   -0.35{col 58}{space 3}0.730{col 66}{space 4}-1.360272{col 79}{space 3} .9527228
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0166603{col 38}{space 2} .0508057{col 49}{space 1}    0.33{col 58}{space 3}0.743{col 66}{space 4}-.0830427{col 79}{space 3} .1163633
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} -.453427{col 38}{space 2} .3108447{col 49}{space 1}   -1.46{col 58}{space 3}0.145{col 66}{space 4}-1.063441{col 79}{space 3} .1565865
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1410914{col 38}{space 2} .2164414{col 49}{space 1}   -0.65{col 58}{space 3}0.515{col 66}{space 4}-.5658444{col 79}{space 3} .2836615
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0230455{col 38}{space 2} .3276292{col 49}{space 1}   -0.07{col 58}{space 3}0.944{col 66}{space 4}-.6659976{col 79}{space 3} .6199067
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .4643877{col 38}{space 2} .4953988{col 49}{space 1}    0.94{col 58}{space 3}0.349{col 66}{space 4}-.5078017{col 79}{space 3} 1.436577
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.1333417{col 38}{space 2} .3272773{col 49}{space 1}   -0.41{col 58}{space 3}0.684{col 66}{space 4}-.7756032{col 79}{space 3} .5089198
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2013  {c |}{col 26}{res}{space 2} .3686645{col 38}{space 2} .0778615{col 49}{space 1}    4.73{col 58}{space 3}0.000{col 66}{space 4} .2158661{col 79}{space 3} .5214629
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .1226438{col 38}{space 2} .1660332{col 49}{space 1}    0.74{col 58}{space 3}0.460{col 66}{space 4}-.2031861{col 79}{space 3} .4484737
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3103935{col 38}{space 2} .1770387{col 49}{space 1}    1.75{col 58}{space 3}0.080{col 66}{space 4} -.037034{col 79}{space 3}  .657821
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.2373893{col 38}{space 2} .1826808{col 49}{space 1}   -1.30{col 58}{space 3}0.194{col 66}{space 4}-.5958891{col 79}{space 3} .1211105
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.885525{col 38}{space 2} .6039133{col 49}{space 1}   -4.78{col 58}{space 3}0.000{col 66}{space 4}-4.070667{col 79}{space 3}-1.700382
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.3906231
                 {txt}sigma_e {c |} {res} 1.4794499
                     {txt}rho {c |} {res} .84006164{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
.   
. esttab using "regression1short.tex", replace f   ///
>  b(2) se(2) ///
>  keep(ATET) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1short.tex"'})

{com}.   
.   *Table with all the control variables
.   esttab using "regression1shortappendix.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year  ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1shortappendix.tex"'})

{com}.   
.  est clear
{res}{txt}
{com}.  
.  *Only multi-family buildings
.   
.   *Using estout package for LatexTables           
. est clear
{txt}
{com}.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET  i.year if include==1 & multi==1 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     2494
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      658

{txt}R-sq:  Within  = {res}0.0197                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0059                                        {txt}avg = {res}      3.8
{txt}       Overall = {res}0.0081                                        {txt}max = {res}       12

                                                {txt}F({res}12{txt},{res}657{txt})          = {res}     1.53
{txt}corr(u_i, Xb)  = {res}-0.0172                        {txt}Prob > F           =    {res}0.1091

{txt}{ralign 78:(Std. err. adjusted for {res:658} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0771144{col 26}{space 2} .0265762{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4}   .02493{col 67}{space 3} .1292989
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0237602{col 26}{space 2} .0311135{col 37}{space 1}   -0.76{col 46}{space 3}0.445{col 54}{space 4} -.084854{col 67}{space 3} .0373336
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0518211{col 26}{space 2}  .032277{col 37}{space 1}   -1.61{col 46}{space 3}0.109{col 54}{space 4}-.1151997{col 67}{space 3} .0115575
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0752794{col 26}{space 2} .0315551{col 37}{space 1}   -2.39{col 46}{space 3}0.017{col 54}{space 4}-.1372404{col 67}{space 3}-.0133185
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0701484{col 26}{space 2} .0324987{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4}-.1339623{col 67}{space 3}-.0063345
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0574701{col 26}{space 2} .0347581{col 37}{space 1}   -1.65{col 46}{space 3}0.099{col 54}{space 4}-.1257206{col 67}{space 3} .0107803
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0635483{col 26}{space 2} .0353853{col 37}{space 1}   -1.80{col 46}{space 3}0.073{col 54}{space 4}-.1330302{col 67}{space 3} .0059336
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0951992{col 26}{space 2} .0350846{col 37}{space 1}   -2.71{col 46}{space 3}0.007{col 54}{space 4}-.1640906{col 67}{space 3}-.0263078
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0662012{col 26}{space 2} .0360536{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-.1369954{col 67}{space 3}  .004593
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0653158{col 26}{space 2} .0363565{col 37}{space 1}   -1.80{col 46}{space 3}0.073{col 54}{space 4}-.1367049{col 67}{space 3} .0060732
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0574158{col 26}{space 2} .0378849{col 37}{space 1}   -1.52{col 46}{space 3}0.130{col 54}{space 4}-.1318059{col 67}{space 3} .0169742
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0749712{col 26}{space 2} .0390409{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-.1516312{col 67}{space 3} .0016888
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  .173725{col 26}{space 2}  .028646{col 37}{space 1}    6.06{col 46}{space 3}0.000{col 54}{space 4} .1174764{col 67}{space 3} .2299737
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .29275335
     {txt}sigma_e {c |} {res} .20089611
         {txt}rho {c |} {res} .67985054{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  extremeright ATET i.oplcat   lninc i.employ  i.year if include==1 &  multi==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     2351
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      624

{txt}R-sq:  Within  = {res}0.0202                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0145                                        {txt}avg = {res}      3.8
{txt}       Overall = {res}0.0084                                        {txt}max = {res}       12

                                                {txt}F({res}23{txt},{res}623{txt})          = {res}     0.90
{txt}corr(u_i, Xb)  = {res}-0.0765                        {txt}Prob > F           =    {res}0.5969

{txt}{ralign 90:(Std. err. adjusted for {res:624} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0701729{col 38}{space 2}  .028434{col 49}{space 1}    2.47{col 58}{space 3}0.014{col 66}{space 4} .0143347{col 79}{space 3}  .126011
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0810797{col 38}{space 2} .1132062{col 49}{space 1}   -0.72{col 58}{space 3}0.474{col 66}{space 4}-.3033917{col 79}{space 3} .1412322
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0099005{col 38}{space 2} .0320438{col 49}{space 1}   -0.31{col 58}{space 3}0.757{col 66}{space 4}-.0728274{col 79}{space 3} .0530264
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0190197{col 38}{space 2} .0576664{col 49}{space 1}    0.33{col 58}{space 3}0.742{col 66}{space 4}-.0942244{col 79}{space 3} .1322637
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0035137{col 38}{space 2} .0476765{col 49}{space 1}    0.07{col 58}{space 3}0.941{col 66}{space 4}-.0901124{col 79}{space 3} .0971397
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0619612{col 38}{space 2} .0524687{col 49}{space 1}   -1.18{col 58}{space 3}0.238{col 66}{space 4}-.1649981{col 79}{space 3} .0410756
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0009251{col 38}{space 2} .0027889{col 49}{space 1}   -0.33{col 58}{space 3}0.740{col 66}{space 4}-.0064018{col 79}{space 3} .0045517
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0051779{col 38}{space 2}  .028979{col 49}{space 1}   -0.18{col 58}{space 3}0.858{col 66}{space 4}-.0620863{col 79}{space 3} .0517305
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0282066{col 38}{space 2} .0270434{col 49}{space 1}    1.04{col 58}{space 3}0.297{col 66}{space 4}-.0249007{col 79}{space 3} .0813139
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0249255{col 38}{space 2} .0494616{col 49}{space 1}   -0.50{col 58}{space 3}0.614{col 66}{space 4}-.1220572{col 79}{space 3} .0722062
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0520427{col 38}{space 2} .1093888{col 49}{space 1}   -0.48{col 58}{space 3}0.634{col 66}{space 4} -.266858{col 79}{space 3} .1627727
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0171852{col 38}{space 2} .0351721{col 49}{space 1}    0.49{col 58}{space 3}0.625{col 66}{space 4}-.0518851{col 79}{space 3} .0862554
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0318902{col 38}{space 2} .0328755{col 49}{space 1}   -0.97{col 58}{space 3}0.332{col 66}{space 4}-.0964504{col 79}{space 3}   .03267
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0561352{col 38}{space 2} .0342123{col 49}{space 1}   -1.64{col 58}{space 3}0.101{col 66}{space 4}-.1233206{col 79}{space 3} .0110502
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0804356{col 38}{space 2}  .034161{col 49}{space 1}   -2.35{col 58}{space 3}0.019{col 66}{space 4}-.1475202{col 79}{space 3} -.013351
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0786749{col 38}{space 2} .0355948{col 49}{space 1}   -2.21{col 58}{space 3}0.027{col 66}{space 4}-.1485752{col 79}{space 3}-.0087746
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0640731{col 38}{space 2} .0377583{col 49}{space 1}   -1.70{col 58}{space 3}0.090{col 66}{space 4} -.138222{col 79}{space 3} .0100758
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0740258{col 38}{space 2} .0389186{col 49}{space 1}   -1.90{col 58}{space 3}0.058{col 66}{space 4}-.1504534{col 79}{space 3} .0024018
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0964008{col 38}{space 2} .0387635{col 49}{space 1}   -2.49{col 58}{space 3}0.013{col 66}{space 4}-.1725238{col 79}{space 3}-.0202778
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0672001{col 38}{space 2} .0400844{col 49}{space 1}   -1.68{col 58}{space 3}0.094{col 66}{space 4} -.145917{col 79}{space 3} .0115168
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0700122{col 38}{space 2} .0405158{col 49}{space 1}   -1.73{col 58}{space 3}0.084{col 66}{space 4}-.1495763{col 79}{space 3} .0095519
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0623431{col 38}{space 2} .0425585{col 49}{space 1}   -1.46{col 58}{space 3}0.143{col 66}{space 4}-.1459186{col 79}{space 3} .0212324
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0739836{col 38}{space 2} .0447457{col 49}{space 1}   -1.65{col 58}{space 3}0.099{col 66}{space 4}-.1618543{col 79}{space 3}  .013887
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2090691{col 38}{space 2} .0564453{col 49}{space 1}    3.70{col 58}{space 3}0.000{col 66}{space 4}  .098223{col 79}{space 3} .3199152
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .29301411
                 {txt}sigma_e {c |} {res}  .2017204
                     {txt}rho {c |} {res} .67845407{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET rentGWE i.year if include2==1 & multi==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,852
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       678

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0188{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0001{col 63}{txt}avg{col 67}={col 69}{res}       4.2
{txt}     Overall = {res}0.0041{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}677{txt}){col 67}={col 70}{res}     1.83
{txt}corr(u_i, Xb) = {res}-0.0292{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0348

{txt}{ralign 78:(Std. err. adjusted for {res:678} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}  .090165{col 26}{space 2}   .02622{col 37}{space 1}    3.44{col 46}{space 3}0.001{col 54}{space 4} .0386827{col 67}{space 3} .1416474
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2}-.0739991{col 26}{space 2} .0248676{col 37}{space 1}   -2.98{col 46}{space 3}0.003{col 54}{space 4}-.1228261{col 67}{space 3}-.0251722
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0001063{col 26}{space 2} .0273532{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-.0538136{col 67}{space 3} .0536009
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0101257{col 26}{space 2}  .028823{col 37}{space 1}   -0.35{col 46}{space 3}0.725{col 54}{space 4} -.066719{col 67}{space 3} .0464676
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0498183{col 26}{space 2} .0287157{col 37}{space 1}   -1.73{col 46}{space 3}0.083{col 54}{space 4}-.1062008{col 67}{space 3} .0065641
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} -.040506{col 26}{space 2} .0301699{col 37}{space 1}   -1.34{col 46}{space 3}0.180{col 54}{space 4}-.0997439{col 67}{space 3} .0187319
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0279693{col 26}{space 2} .0313979{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.0896182{col 67}{space 3} .0336797
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} -.044659{col 26}{space 2} .0312245{col 37}{space 1}   -1.43{col 46}{space 3}0.153{col 54}{space 4}-.1059675{col 67}{space 3} .0166495
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0722269{col 26}{space 2} .0319729{col 37}{space 1}   -2.26{col 46}{space 3}0.024{col 54}{space 4}-.1350049{col 67}{space 3}-.0094488
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0538149{col 26}{space 2} .0317249{col 37}{space 1}   -1.70{col 46}{space 3}0.090{col 54}{space 4} -.116106{col 67}{space 3} .0084762
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0515463{col 26}{space 2} .0325011{col 37}{space 1}   -1.59{col 46}{space 3}0.113{col 54}{space 4}-.1153613{col 67}{space 3} .0122688
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0519732{col 26}{space 2} .0332875{col 37}{space 1}   -1.56{col 46}{space 3}0.119{col 54}{space 4}-.1173323{col 67}{space 3} .0133859
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0714207{col 26}{space 2} .0343219{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-.1388109{col 67}{space 3}-.0040305
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1933981{col 26}{space 2} .0251367{col 37}{space 1}    7.69{col 46}{space 3}0.000{col 54}{space 4} .1440427{col 67}{space 3} .2427534
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .28957931
     {txt}sigma_e {c |} {res} .20278066
         {txt}rho {c |} {res} .67097733{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  extremeright ATET rentGWE i.oplcat   lninc i.employ  i.year if include2==1 & multi==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,687
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       644

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0213{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0184{col 63}{txt}avg{col 67}={col 69}{res}       4.2
{txt}     Overall = {res}0.0096{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}643{txt}){col 67}={col 70}{res}     1.03
{txt}corr(u_i, Xb) = {res}-0.3064{txt}{col 49}Prob > F{col 67}={col 73}{res}0.4288

{txt}{ralign 90:(Std. err. adjusted for {res:644} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0899187{col 38}{space 2} .0281143{col 49}{space 1}    3.20{col 58}{space 3}0.001{col 66}{space 4} .0347118{col 79}{space 3} .1451255
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2} -.076838{col 38}{space 2} .0254789{col 49}{space 1}   -3.02{col 58}{space 3}0.003{col 66}{space 4}-.1268699{col 79}{space 3}-.0268061
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0804154{col 38}{space 2} .1171841{col 49}{space 1}   -0.69{col 58}{space 3}0.493{col 66}{space 4}-.3105252{col 79}{space 3} .1496943
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0334858{col 38}{space 2} .0510766{col 49}{space 1}    0.66{col 58}{space 3}0.512{col 66}{space 4}-.0668112{col 79}{space 3} .1337828
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0806638{col 38}{space 2} .0835505{col 49}{space 1}   -0.97{col 58}{space 3}0.335{col 66}{space 4}-.2447285{col 79}{space 3} .0834008
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0350355{col 38}{space 2} .0746489{col 49}{space 1}    0.47{col 58}{space 3}0.639{col 66}{space 4}-.1115495{col 79}{space 3} .1816205
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0173608{col 38}{space 2}  .067381{col 49}{space 1}    0.26{col 58}{space 3}0.797{col 66}{space 4}-.1149526{col 79}{space 3} .1496742
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0019266{col 38}{space 2} .0026448{col 49}{space 1}   -0.73{col 58}{space 3}0.467{col 66}{space 4}-.0071202{col 79}{space 3} .0032669
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}  -.02234{col 38}{space 2} .0298997{col 49}{space 1}   -0.75{col 58}{space 3}0.455{col 66}{space 4}-.0810529{col 79}{space 3} .0363728
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0266737{col 38}{space 2} .0240915{col 49}{space 1}    1.11{col 58}{space 3}0.269{col 66}{space 4}-.0206337{col 79}{space 3} .0739812
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0031095{col 38}{space 2} .0408766{col 49}{space 1}   -0.08{col 58}{space 3}0.939{col 66}{space 4}-.0833772{col 79}{space 3} .0771583
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0050133{col 38}{space 2} .1004641{col 49}{space 1}   -0.05{col 58}{space 3}0.960{col 66}{space 4}-.2022907{col 79}{space 3} .1922641
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0085092{col 38}{space 2} .0295141{col 49}{space 1}    0.29{col 58}{space 3}0.773{col 66}{space 4}-.0494466{col 79}{space 3} .0664649
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0033204{col 38}{space 2} .0283893{col 49}{space 1}   -0.12{col 58}{space 3}0.907{col 66}{space 4}-.0590673{col 79}{space 3} .0524264
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0095441{col 38}{space 2} .0303568{col 49}{space 1}   -0.31{col 58}{space 3}0.753{col 66}{space 4}-.0691545{col 79}{space 3} .0500664
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0471072{col 38}{space 2} .0304431{col 49}{space 1}   -1.55{col 58}{space 3}0.122{col 66}{space 4}-.1068871{col 79}{space 3} .0126728
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0412898{col 38}{space 2} .0326777{col 49}{space 1}   -1.26{col 58}{space 3}0.207{col 66}{space 4}-.1054577{col 79}{space 3} .0228781
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0289149{col 38}{space 2} .0335603{col 49}{space 1}   -0.86{col 58}{space 3}0.389{col 66}{space 4}-.0948158{col 79}{space 3} .0369861
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0510565{col 38}{space 2} .0341848{col 49}{space 1}   -1.49{col 58}{space 3}0.136{col 66}{space 4}-.1181838{col 79}{space 3} .0160709
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} -.069269{col 38}{space 2} .0350112{col 49}{space 1}   -1.98{col 58}{space 3}0.048{col 66}{space 4}-.1380191{col 79}{space 3}-.0005189
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0516835{col 38}{space 2} .0349155{col 49}{space 1}   -1.48{col 58}{space 3}0.139{col 66}{space 4}-.1202456{col 79}{space 3} .0168787
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0566352{col 38}{space 2} .0358785{col 49}{space 1}   -1.58{col 58}{space 3}0.115{col 66}{space 4}-.1270884{col 79}{space 3} .0138179
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0465936{col 38}{space 2}   .03674{col 49}{space 1}   -1.27{col 58}{space 3}0.205{col 66}{space 4}-.1187386{col 79}{space 3} .0255513
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0644614{col 38}{space 2} .0383281{col 49}{space 1}   -1.68{col 58}{space 3}0.093{col 66}{space 4}-.1397247{col 79}{space 3}  .010802
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2261917{col 38}{space 2} .0649839{col 49}{space 1}    3.48{col 58}{space 3}0.001{col 66}{space 4} .0985854{col 79}{space 3}  .353798
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .30720723
                 {txt}sigma_e {c |} {res} .20286871
                     {txt}rho {c |} {res}  .6963395{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET  i.year if include==1 & multi==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     2709
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      690

{txt}R-sq:  Within  = {res}0.0169                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0052                                        {txt}avg = {res}      3.9
{txt}       Overall = {res}0.0059                                        {txt}max = {res}       11

                                                {txt}F({res}11{txt},{res}689{txt})          = {res}     3.21
{txt}corr(u_i, Xb)  = {res}0.0179                         {txt}Prob > F           =    {res}0.0003

{txt}{ralign 78:(Std. err. adjusted for {res:690} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .2097813{col 26}{space 2} .2130588{col 37}{space 1}    0.98{col 46}{space 3}0.325{col 54}{space 4}-.2085411{col 67}{space 3} .6281037
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.2471518{col 26}{space 2} .1791246{col 37}{space 1}   -1.38{col 46}{space 3}0.168{col 54}{space 4}-.5988472{col 67}{space 3} .1045437
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}  .025857{col 26}{space 2} .2153142{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-.3968938{col 67}{space 3} .4486077
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0253634{col 26}{space 2} .2165092{col 37}{space 1}   -0.12{col 46}{space 3}0.907{col 54}{space 4}-.4504603{col 67}{space 3} .3997335
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .3647833{col 26}{space 2} .2094534{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0464602{col 67}{space 3} .7760268
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0518987{col 26}{space 2} .2401013{col 37}{space 1}    0.22{col 46}{space 3}0.829{col 54}{space 4}-.4195194{col 67}{space 3} .5233168
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .2477358{col 26}{space 2}  .249229{col 37}{space 1}    0.99{col 46}{space 3}0.321{col 54}{space 4}-.2416037{col 67}{space 3} .7370754
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.1967708{col 26}{space 2} .2541773{col 37}{space 1}   -0.77{col 46}{space 3}0.439{col 54}{space 4}-.6958259{col 67}{space 3} .3022842
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .1574381{col 26}{space 2} .2665057{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4}-.3658226{col 67}{space 3} .6806988
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .0611286{col 26}{space 2} .2697015{col 37}{space 1}    0.23{col 46}{space 3}0.821{col 54}{space 4}-.4684069{col 67}{space 3} .5906641
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .3358085{col 26}{space 2} .2857006{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.2251397{col 67}{space 3} .8967567
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.281206{col 26}{space 2} .1876593{col 37}{space 1}  -12.16{col 46}{space 3}0.000{col 54}{space 4}-2.649659{col 67}{space 3}-1.912754
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.2112649
     {txt}sigma_e {c |} {res} 1.5803971
         {txt}rho {c |} {res} .80502116{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  PVVsympmean ATET i.oplcat   lninc i.employ  i.year if include==1 &  multi==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     2545
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      657

{txt}R-sq:  Within  = {res}0.0259                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0965                                        {txt}avg = {res}      3.9
{txt}       Overall = {res}0.0830                                        {txt}max = {res}       11

                                                {txt}F({res}22{txt},{res}656{txt})          = {res}     2.26
{txt}corr(u_i, Xb)  = {res}0.1650                         {txt}Prob > F           =    {res}0.0009

{txt}{ralign 90:(Std. err. adjusted for {res:657} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .1714859{col 38}{space 2}  .223878{col 49}{space 1}    0.77{col 58}{space 3}0.444{col 66}{space 4}-.2681179{col 79}{space 3} .6110898
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .6289431{col 38}{space 2} .8068224{col 49}{space 1}    0.78{col 58}{space 3}0.436{col 66}{space 4}-.9553227{col 79}{space 3} 2.213209
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .2143005{col 38}{space 2} .7577058{col 49}{space 1}    0.28{col 58}{space 3}0.777{col 66}{space 4}-1.273521{col 79}{space 3} 1.702122
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .1641917{col 38}{space 2} .7613308{col 49}{space 1}    0.22{col 58}{space 3}0.829{col 66}{space 4}-1.330747{col 79}{space 3} 1.659131
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.1981249{col 38}{space 2} 1.022293{col 49}{space 1}   -0.19{col 58}{space 3}0.846{col 66}{space 4}-2.205486{col 79}{space 3} 1.809236
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.6959077{col 38}{space 2} .8999114{col 49}{space 1}   -0.77{col 58}{space 3}0.440{col 66}{space 4}-2.462962{col 79}{space 3} 1.071146
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0152987{col 38}{space 2} .0437418{col 49}{space 1}    0.35{col 58}{space 3}0.727{col 66}{space 4} -.070592{col 79}{space 3} .1011894
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.1059949{col 38}{space 2} .3276899{col 49}{space 1}   -0.32{col 58}{space 3}0.746{col 66}{space 4}-.7494425{col 79}{space 3} .5374527
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .2344572{col 38}{space 2} .3036038{col 49}{space 1}    0.77{col 58}{space 3}0.440{col 66}{space 4}-.3616953{col 79}{space 3} .8306096
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .3191108{col 38}{space 2} .3795236{col 49}{space 1}    0.84{col 58}{space 3}0.401{col 66}{space 4}-.4261167{col 79}{space 3} 1.064338
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .2916858{col 38}{space 2} .4683732{col 49}{space 1}    0.62{col 58}{space 3}0.534{col 66}{space 4}-.6280057{col 79}{space 3} 1.211377
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0726681{col 38}{space 2} .2828352{col 49}{space 1}    0.26{col 58}{space 3}0.797{col 66}{space 4}-.4827034{col 79}{space 3} .6280396
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.2736399{col 38}{space 2} .1889207{col 49}{space 1}   -1.45{col 58}{space 3}0.148{col 66}{space 4}-.6446021{col 79}{space 3} .0973223
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0053407{col 38}{space 2} .2248259{col 49}{space 1}   -0.02{col 58}{space 3}0.981{col 66}{space 4}-.4468059{col 79}{space 3} .4361245
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0631692{col 38}{space 2} .2292966{col 49}{space 1}   -0.28{col 58}{space 3}0.783{col 66}{space 4} -.513413{col 79}{space 3} .3870745
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .3668426{col 38}{space 2}   .21938{col 49}{space 1}    1.67{col 58}{space 3}0.095{col 66}{space 4}-.0639292{col 79}{space 3} .7976143
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  .067786{col 38}{space 2} .2562022{col 49}{space 1}    0.26{col 58}{space 3}0.791{col 66}{space 4}-.4352893{col 79}{space 3} .5708613
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .2622798{col 38}{space 2} .2666249{col 49}{space 1}    0.98{col 58}{space 3}0.326{col 66}{space 4}-.2612613{col 79}{space 3}  .785821
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.1805068{col 38}{space 2} .2732039{col 49}{space 1}   -0.66{col 58}{space 3}0.509{col 66}{space 4}-.7169663{col 79}{space 3} .3559526
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .1436838{col 38}{space 2} .2866807{col 49}{space 1}    0.50{col 58}{space 3}0.616{col 66}{space 4}-.4192386{col 79}{space 3} .7066062
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .1040191{col 38}{space 2} .2915058{col 49}{space 1}    0.36{col 58}{space 3}0.721{col 66}{space 4}-.4683778{col 79}{space 3} .6764159
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .3684878{col 38}{space 2} .3085143{col 49}{space 1}    1.19{col 58}{space 3}0.233{col 66}{space 4}-.2373068{col 79}{space 3} .9742825
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.548949{col 38}{space 2} .7004371{col 49}{space 1}   -3.64{col 58}{space 3}0.000{col 66}{space 4}-3.924318{col 79}{space 3} -1.17358
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.1153017
                 {txt}sigma_e {c |} {res} 1.5652263
                     {txt}rho {c |} {res} .79844297{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET rentGWE i.year if include2==1 & multi==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     3,095
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       708

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0146{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0019{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     Overall = {res}0.0035{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}707{txt}){col 67}={col 70}{res}     3.28
{txt}corr(u_i, Xb) = {res}0.0048{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0001

{txt}{ralign 78:(Std. err. adjusted for {res:708} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .2563043{col 26}{space 2} .2041848{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.1445768{col 67}{space 3} .6571854
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2} -.049275{col 26}{space 2}  .182193{col 37}{space 1}   -0.27{col 46}{space 3}0.787{col 54}{space 4}-.4069791{col 67}{space 3} .3084291
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.2295476{col 26}{space 2} .1558996{col 37}{space 1}   -1.47{col 46}{space 3}0.141{col 54}{space 4}-.5356292{col 67}{space 3} .0765339
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0183128{col 26}{space 2} .1842868{col 37}{space 1}   -0.10{col 46}{space 3}0.921{col 54}{space 4}-.3801276{col 67}{space 3}  .343502
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.1049968{col 26}{space 2} .1908982{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.4797919{col 67}{space 3} .2697984
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .2876052{col 26}{space 2} .1830403{col 37}{space 1}    1.57{col 46}{space 3}0.117{col 54}{space 4}-.0717625{col 67}{space 3} .6469728
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0487281{col 26}{space 2} .2229609{col 37}{space 1}   -0.22{col 46}{space 3}0.827{col 54}{space 4}-.4864728{col 67}{space 3} .3890167
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .1541995{col 26}{space 2}  .223547{col 37}{space 1}    0.69{col 46}{space 3}0.491{col 54}{space 4}-.2846959{col 67}{space 3}  .593095
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.3277333{col 26}{space 2} .2395826{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-.7981118{col 67}{space 3} .1426452
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0889559{col 26}{space 2} .2378381{col 37}{space 1}    0.37{col 46}{space 3}0.709{col 54}{space 4}-.3779976{col 67}{space 3} .5559094
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0795852{col 26}{space 2} .2467736{col 37}{space 1}   -0.32{col 46}{space 3}0.747{col 54}{space 4}-.5640819{col 67}{space 3} .4049116
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .1098863{col 26}{space 2} .2536372{col 37}{space 1}    0.43{col 46}{space 3}0.665{col 54}{space 4}-.3880859{col 67}{space 3} .6078585
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.221798{col 26}{space 2} .1840039{col 37}{space 1}  -12.07{col 46}{space 3}0.000{col 54}{space 4}-2.583057{col 67}{space 3}-1.860538
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  3.199084
     {txt}sigma_e {c |} {res} 1.6130373
         {txt}rho {c |} {res} .79729793{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  PVVsympmean ATET rentGWE i.oplcat   lninc i.employ  i.year if include2==1 &  multi==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,907
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       676

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0273{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0006{col 63}{txt}avg{col 67}={col 69}{res}       4.3
{txt}     Overall = {res}0.0000{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}23{txt},{res}675{txt}){col 67}={col 70}{res}     2.59
{txt}corr(u_i, Xb) = {res}-0.1452{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0001

{txt}{ralign 90:(Std. err. adjusted for {res:676} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .1907766{col 38}{space 2}  .214951{col 49}{space 1}    0.89{col 58}{space 3}0.375{col 66}{space 4}-.2312763{col 79}{space 3} .6128296
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2} .0145783{col 38}{space 2} .1821436{col 49}{space 1}    0.08{col 58}{space 3}0.936{col 66}{space 4}-.3430579{col 79}{space 3} .3722145
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .5620015{col 38}{space 2} .7725525{col 49}{space 1}    0.73{col 58}{space 3}0.467{col 66}{space 4}-.9548934{col 79}{space 3} 2.078896
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .7187932{col 38}{space 2} .7389874{col 49}{space 1}    0.97{col 58}{space 3}0.331{col 66}{space 4}-.7321972{col 79}{space 3} 2.169784
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0838198{col 38}{space 2} .7396619{col 49}{space 1}   -0.11{col 58}{space 3}0.910{col 66}{space 4}-1.536135{col 79}{space 3} 1.368495
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .8397726{col 38}{space 2} .9951964{col 49}{space 1}    0.84{col 58}{space 3}0.399{col 66}{space 4} -1.11428{col 79}{space 3} 2.793826
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.1374561{col 38}{space 2} .9018343{col 49}{space 1}   -0.15{col 58}{space 3}0.879{col 66}{space 4}-1.908194{col 79}{space 3} 1.633282
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0042526{col 38}{space 2} .0399794{col 49}{space 1}    0.11{col 58}{space 3}0.915{col 66}{space 4}-.0742463{col 79}{space 3} .0827515
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0372241{col 38}{space 2} .3069647{col 49}{space 1}    0.12{col 58}{space 3}0.904{col 66}{space 4}-.5654963{col 79}{space 3} .6399445
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .4000428{col 38}{space 2} .3067256{col 49}{space 1}    1.30{col 58}{space 3}0.193{col 66}{space 4}-.2022082{col 79}{space 3} 1.002294
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .5575268{col 38}{space 2} .3406682{col 49}{space 1}    1.64{col 58}{space 3}0.102{col 66}{space 4}-.1113699{col 79}{space 3} 1.226424
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}  .400115{col 38}{space 2} .4758839{col 49}{space 1}    0.84{col 58}{space 3}0.401{col 66}{space 4}-.5342758{col 79}{space 3} 1.334506
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .2331238{col 38}{space 2} .2725717{col 49}{space 1}    0.86{col 58}{space 3}0.393{col 66}{space 4}-.3020666{col 79}{space 3} .7683142
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.2290801{col 38}{space 2} .1639588{col 49}{space 1}   -1.40{col 58}{space 3}0.163{col 66}{space 4}-.5510107{col 79}{space 3} .0928505
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0632203{col 38}{space 2} .1926527{col 49}{space 1}   -0.33{col 58}{space 3}0.743{col 66}{space 4} -.441491{col 79}{space 3} .3150504
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.1319156{col 38}{space 2} .2000027{col 49}{space 1}   -0.66{col 58}{space 3}0.510{col 66}{space 4}-.5246178{col 79}{space 3} .2607867
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .2969774{col 38}{space 2} .1878156{col 49}{space 1}    1.58{col 58}{space 3}0.114{col 66}{space 4}-.0717957{col 79}{space 3} .6657505
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0130375{col 38}{space 2} .2337429{col 49}{space 1}   -0.06{col 58}{space 3}0.956{col 66}{space 4}-.4719881{col 79}{space 3} .4459131
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .1839292{col 38}{space 2} .2352039{col 49}{space 1}    0.78{col 58}{space 3}0.434{col 66}{space 4}-.2778901{col 79}{space 3} .6457485
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} -.309003{col 38}{space 2} .2505704{col 49}{space 1}   -1.23{col 58}{space 3}0.218{col 66}{space 4}-.8009942{col 79}{space 3} .1829883
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}  .065277{col 38}{space 2} .2495238{col 49}{space 1}    0.26{col 58}{space 3}0.794{col 66}{space 4} -.424659{col 79}{space 3} .5552131
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0329259{col 38}{space 2} .2615065{col 49}{space 1}   -0.13{col 58}{space 3}0.900{col 66}{space 4}-.5463899{col 79}{space 3} .4805382
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1365565{col 38}{space 2} .2666933{col 49}{space 1}    0.51{col 58}{space 3}0.609{col 66}{space 4}-.3870917{col 79}{space 3} .6602048
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.857231{col 38}{space 2}  .678935{col 49}{space 1}   -4.21{col 58}{space 3}0.000{col 66}{space 4} -4.19031{col 79}{space 3}-1.524153
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.2647583
                 {txt}sigma_e {c |} {res} 1.5960868
                     {txt}rho {c |} {res} .80709783{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
.   
. esttab using "regression1multi.tex", replace f   ///
>  b(2) se(2) ///
>  keep(ATET) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1multi.tex"'})

{com}.   
.   *Table with all the control variables
.   esttab using "regression1multiappendix.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year  ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1multiappendix.tex"'})

{com}.   
.  est clear
{res}{txt}
{com}.  
.  
.   *Only multi-family buildings
.   
.   *Using estout package for LatexTables           
. est clear
{txt}
{com}.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET  i.year if include==1 & incquart<3 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     4203
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      985

{txt}R-sq:  Within  = {res}0.0131                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0086                                        {txt}avg = {res}      4.3
{txt}       Overall = {res}0.0104                                        {txt}max = {res}       12

                                                {txt}F({res}12{txt},{res}984{txt})          = {res}     3.05
{txt}corr(u_i, Xb)  = {res}0.0275                         {txt}Prob > F           =    {res}0.0003

{txt}{ralign 78:(Std. err. adjusted for {res:985} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0647696{col 26}{space 2} .0210478{col 37}{space 1}    3.08{col 46}{space 3}0.002{col 54}{space 4} .0234659{col 67}{space 3} .1060733
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0203858{col 26}{space 2} .0255649{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4}-.0297822{col 67}{space 3} .0705537
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0037375{col 26}{space 2} .0254282{col 37}{space 1}    0.15{col 46}{space 3}0.883{col 54}{space 4}-.0461621{col 67}{space 3} .0536372
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0359591{col 26}{space 2}   .02433{col 37}{space 1}   -1.48{col 46}{space 3}0.140{col 54}{space 4}-.0837037{col 67}{space 3} .0117855
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0410628{col 26}{space 2}  .025721{col 37}{space 1}   -1.60{col 46}{space 3}0.111{col 54}{space 4}-.0915372{col 67}{space 3} .0094116
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} -.041214{col 26}{space 2} .0265623{col 37}{space 1}   -1.55{col 46}{space 3}0.121{col 54}{space 4}-.0933392{col 67}{space 3} .0109112
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0373743{col 26}{space 2} .0295237{col 37}{space 1}   -1.27{col 46}{space 3}0.206{col 54}{space 4}-.0953109{col 67}{space 3} .0205622
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0440815{col 26}{space 2} .0282342{col 37}{space 1}   -1.56{col 46}{space 3}0.119{col 54}{space 4}-.0994877{col 67}{space 3} .0113247
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0673596{col 26}{space 2} .0304562{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.1271262{col 67}{space 3}-.0075931
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0505217{col 26}{space 2} .0314424{col 37}{space 1}   -1.61{col 46}{space 3}0.108{col 54}{space 4}-.1122236{col 67}{space 3} .0111802
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0569166{col 26}{space 2} .0321455{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4}-.1199982{col 67}{space 3}  .006165
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0431874{col 26}{space 2}  .030793{col 37}{space 1}   -1.40{col 46}{space 3}0.161{col 54}{space 4} -.103615{col 67}{space 3} .0172402
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1739377{col 26}{space 2} .0227132{col 37}{space 1}    7.66{col 46}{space 3}0.000{col 54}{space 4} .1293658{col 67}{space 3} .2185095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .31031962
     {txt}sigma_e {c |} {res} .21762386
         {txt}rho {c |} {res} .67032809{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  extremeright ATET i.oplcat   lninc i.employ  i.year if include==1 & incquart<3, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     4156
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      978

{txt}R-sq:  Within  = {res}0.0179                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0330                                        {txt}avg = {res}      4.2
{txt}       Overall = {res}0.0327                                        {txt}max = {res}       12

                                                {txt}F({res}23{txt},{res}977{txt})          = {res}     2.04
{txt}corr(u_i, Xb)  = {res}-0.0604                        {txt}Prob > F           =    {res}0.0028

{txt}{ralign 90:(Std. err. adjusted for {res:978} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0635175{col 38}{space 2} .0215522{col 49}{space 1}    2.95{col 58}{space 3}0.003{col 66}{space 4} .0212235{col 79}{space 3} .1058115
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0655226{col 38}{space 2}  .077714{col 49}{space 1}    0.84{col 58}{space 3}0.399{col 66}{space 4}-.0869831{col 79}{space 3} .2180282
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0695267{col 38}{space 2} .0926517{col 49}{space 1}   -0.75{col 58}{space 3}0.453{col 66}{space 4}-.2513459{col 79}{space 3} .1122925
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0724166{col 38}{space 2} .0716542{col 49}{space 1}   -1.01{col 58}{space 3}0.312{col 66}{space 4}-.2130304{col 79}{space 3} .0681973
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.1028373{col 38}{space 2}  .091903{col 49}{space 1}   -1.12{col 58}{space 3}0.263{col 66}{space 4}-.2831873{col 79}{space 3} .0775126
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.1073553{col 38}{space 2} .0905153{col 49}{space 1}   -1.19{col 58}{space 3}0.236{col 66}{space 4}-.2849821{col 79}{space 3} .0702714
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .002275{col 38}{space 2} .0030826{col 49}{space 1}    0.74{col 58}{space 3}0.461{col 66}{space 4}-.0037743{col 79}{space 3} .0083244
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0127822{col 38}{space 2} .0365272{col 49}{space 1}    0.35{col 58}{space 3}0.726{col 66}{space 4}-.0588985{col 79}{space 3} .0844629
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0200073{col 38}{space 2} .0192808{col 49}{space 1}    1.04{col 58}{space 3}0.300{col 66}{space 4}-.0178292{col 79}{space 3} .0578438
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0074642{col 38}{space 2} .0526618{col 49}{space 1}    0.14{col 58}{space 3}0.887{col 66}{space 4}-.0958791{col 79}{space 3} .1108076
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0677472{col 38}{space 2} .0408964{col 49}{space 1}    1.66{col 58}{space 3}0.098{col 66}{space 4}-.0125078{col 79}{space 3} .1480022
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0335195{col 38}{space 2} .0261244{col 49}{space 1}    1.28{col 58}{space 3}0.200{col 66}{space 4}-.0177468{col 79}{space 3} .0847858
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0209455{col 38}{space 2} .0255554{col 49}{space 1}    0.82{col 58}{space 3}0.413{col 66}{space 4}-.0292043{col 79}{space 3} .0710953
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0043626{col 38}{space 2} .0256511{col 49}{space 1}    0.17{col 58}{space 3}0.865{col 66}{space 4} -.045975{col 79}{space 3} .0547002
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0361227{col 38}{space 2} .0240617{col 49}{space 1}   -1.50{col 58}{space 3}0.134{col 66}{space 4}-.0833411{col 79}{space 3} .0110958
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} -.042127{col 38}{space 2}  .025528{col 49}{space 1}   -1.65{col 58}{space 3}0.099{col 66}{space 4}-.0922229{col 79}{space 3} .0079689
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0426206{col 38}{space 2}  .026044{col 49}{space 1}   -1.64{col 58}{space 3}0.102{col 66}{space 4}-.0937292{col 79}{space 3}  .008488
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0369459{col 38}{space 2} .0295428{col 49}{space 1}   -1.25{col 58}{space 3}0.211{col 66}{space 4}-.0949205{col 79}{space 3} .0210287
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} -.044868{col 38}{space 2} .0283618{col 49}{space 1}   -1.58{col 58}{space 3}0.114{col 66}{space 4}-.1005252{col 79}{space 3} .0107891
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0677345{col 38}{space 2} .0306929{col 49}{space 1}   -2.21{col 58}{space 3}0.028{col 66}{space 4}-.1279661{col 79}{space 3}-.0075028
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0514696{col 38}{space 2} .0321948{col 49}{space 1}   -1.60{col 58}{space 3}0.110{col 66}{space 4}-.1146485{col 79}{space 3} .0117094
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0571228{col 38}{space 2} .0325168{col 49}{space 1}   -1.76{col 58}{space 3}0.079{col 66}{space 4}-.1209336{col 79}{space 3} .0066881
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0446351{col 38}{space 2} .0318676{col 49}{space 1}   -1.40{col 58}{space 3}0.162{col 66}{space 4}-.1071718{col 79}{space 3} .0179017
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1614382{col 38}{space 2} .0619139{col 49}{space 1}    2.61{col 58}{space 3}0.009{col 66}{space 4} .0399387{col 79}{space 3} .2829378
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .30848744
                 {txt}sigma_e {c |} {res} .21878675
                     {txt}rho {c |} {res} .66533647{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET rentGWE i.year if include2==1 & incquart<3, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     4,574
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,001

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0140{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0003{col 63}{txt}avg{col 67}={col 69}{res}       4.6
{txt}     Overall = {res}0.0044{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}1000{txt}){col 67}={col 70}{res}     3.53
{txt}corr(u_i, Xb) = {res}-0.0051{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,001} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0750394{col 26}{space 2} .0210753{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .0336825{col 67}{space 3} .1163963
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2}-.0494313{col 26}{space 2} .0221319{col 37}{space 1}   -2.23{col 46}{space 3}0.026{col 54}{space 4}-.0928616{col 67}{space 3} -.006001
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0287641{col 26}{space 2} .0238717{col 37}{space 1}    1.20{col 46}{space 3}0.229{col 54}{space 4}-.0180804{col 67}{space 3} .0756085
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0185429{col 26}{space 2} .0232146{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4} -.027012{col 67}{space 3} .0640977
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0210072{col 26}{space 2}  .021913{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-.0640079{col 67}{space 3} .0219935
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0284893{col 26}{space 2} .0237831{col 37}{space 1}   -1.20{col 46}{space 3}0.231{col 54}{space 4}-.0751598{col 67}{space 3} .0181813
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0285011{col 26}{space 2} .0245446{col 37}{space 1}   -1.16{col 46}{space 3}0.246{col 54}{space 4}-.0766659{col 67}{space 3} .0196638
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0331274{col 26}{space 2} .0274758{col 37}{space 1}   -1.21{col 46}{space 3}0.228{col 54}{space 4}-.0870442{col 67}{space 3} .0207893
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0364432{col 26}{space 2} .0265299{col 37}{space 1}   -1.37{col 46}{space 3}0.170{col 54}{space 4}-.0885039{col 67}{space 3} .0156175
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0657135{col 26}{space 2} .0287021{col 37}{space 1}   -2.29{col 46}{space 3}0.022{col 54}{space 4}-.1220369{col 67}{space 3}-.0093902
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0485835{col 26}{space 2} .0292461{col 37}{space 1}   -1.66{col 46}{space 3}0.097{col 54}{space 4}-.1059742{col 67}{space 3} .0088072
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0474963{col 26}{space 2} .0290878{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.1045764{col 67}{space 3} .0095838
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0396123{col 26}{space 2}  .028018{col 37}{space 1}   -1.41{col 46}{space 3}0.158{col 54}{space 4}-.0945931{col 67}{space 3} .0153685
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1939565{col 26}{space 2} .0221864{col 37}{space 1}    8.74{col 46}{space 3}0.000{col 54}{space 4} .1504193{col 67}{space 3} .2374937
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30833594
     {txt}sigma_e {c |} {res} .21700808
         {txt}rho {c |} {res} .66874417{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  extremeright ATET rentGWE i.oplcat   lninc i.employ  i.year if include2==1 & incquart<3, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     4,518
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       993

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0179{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0268{col 63}{txt}avg{col 67}={col 69}{res}       4.5
{txt}     Overall = {res}0.0289{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}992{txt}){col 67}={col 70}{res}     2.26
{txt}corr(u_i, Xb) = {res}-0.0422{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0005

{txt}{ralign 90:(Std. err. adjusted for {res:993} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0734973{col 38}{space 2} .0217717{col 49}{space 1}    3.38{col 58}{space 3}0.001{col 66}{space 4} .0307733{col 79}{space 3} .1162212
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2}-.0468363{col 38}{space 2} .0227793{col 49}{space 1}   -2.06{col 58}{space 3}0.040{col 66}{space 4}-.0915375{col 79}{space 3}-.0021351
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0595192{col 38}{space 2} .0799691{col 49}{space 1}    0.74{col 58}{space 3}0.457{col 66}{space 4}-.0974088{col 79}{space 3} .2164471
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0561207{col 38}{space 2} .0855324{col 49}{space 1}   -0.66{col 58}{space 3}0.512{col 66}{space 4}-.2239658{col 79}{space 3} .1117244
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0664305{col 38}{space 2} .0713205{col 49}{space 1}   -0.93{col 58}{space 3}0.352{col 66}{space 4} -.206387{col 79}{space 3} .0735259
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.1019227{col 38}{space 2} .0882223{col 49}{space 1}   -1.16{col 58}{space 3}0.248{col 66}{space 4}-.2750465{col 79}{space 3}  .071201
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0822532{col 38}{space 2} .0868178{col 49}{space 1}   -0.95{col 58}{space 3}0.344{col 66}{space 4}-.2526208{col 79}{space 3} .0881143
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0021927{col 38}{space 2} .0031474{col 49}{space 1}    0.70{col 58}{space 3}0.486{col 66}{space 4}-.0039837{col 79}{space 3}  .008369
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0149502{col 38}{space 2} .0383768{col 49}{space 1}    0.39{col 58}{space 3}0.697{col 66}{space 4}-.0603587{col 79}{space 3} .0902592
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0200091{col 38}{space 2} .0179935{col 49}{space 1}    1.11{col 58}{space 3}0.266{col 66}{space 4}-.0153006{col 79}{space 3} .0553188
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0074495{col 38}{space 2} .0453997{col 49}{space 1}    0.16{col 58}{space 3}0.870{col 66}{space 4}-.0816411{col 79}{space 3}   .09654
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0557264{col 38}{space 2} .0370581{col 49}{space 1}    1.50{col 58}{space 3}0.133{col 66}{space 4}-.0169948{col 79}{space 3} .1284476
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0292837{col 38}{space 2} .0239431{col 49}{space 1}    1.22{col 58}{space 3}0.222{col 66}{space 4}-.0177012{col 79}{space 3} .0762686
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0293991{col 38}{space 2} .0239065{col 49}{space 1}    1.23{col 58}{space 3}0.219{col 66}{space 4}-.0175141{col 79}{space 3} .0763123
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0187055{col 38}{space 2} .0235252{col 49}{space 1}    0.80{col 58}{space 3}0.427{col 66}{space 4}-.0274594{col 79}{space 3} .0648703
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0216692{col 38}{space 2} .0219075{col 49}{space 1}   -0.99{col 58}{space 3}0.323{col 66}{space 4}-.0646596{col 79}{space 3} .0213213
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0304563{col 38}{space 2} .0239575{col 49}{space 1}   -1.27{col 58}{space 3}0.204{col 66}{space 4}-.0774696{col 79}{space 3} .0165569
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0302827{col 38}{space 2} .0243981{col 49}{space 1}   -1.24{col 58}{space 3}0.215{col 66}{space 4}-.0781606{col 79}{space 3} .0175952
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} -.033106{col 38}{space 2} .0280489{col 49}{space 1}   -1.18{col 58}{space 3}0.238{col 66}{space 4}-.0881479{col 79}{space 3}  .021936
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0372807{col 38}{space 2} .0272282{col 49}{space 1}   -1.37{col 58}{space 3}0.171{col 66}{space 4}-.0907123{col 79}{space 3} .0161508
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0671332{col 38}{space 2} .0295726{col 49}{space 1}   -2.27{col 58}{space 3}0.023{col 66}{space 4}-.1251653{col 79}{space 3} -.009101
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} -.049847{col 38}{space 2} .0306151{col 49}{space 1}   -1.63{col 58}{space 3}0.104{col 66}{space 4}-.1099248{col 79}{space 3} .0102308
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0482304{col 38}{space 2} .0300679{col 49}{space 1}   -1.60{col 58}{space 3}0.109{col 66}{space 4}-.1072344{col 79}{space 3} .0107736
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0408752{col 38}{space 2} .0295625{col 49}{space 1}   -1.38{col 58}{space 3}0.167{col 66}{space 4}-.0988875{col 79}{space 3} .0171371
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1817708{col 38}{space 2} .0629479{col 49}{space 1}    2.89{col 58}{space 3}0.004{col 66}{space 4} .0582444{col 79}{space 3} .3052972
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .30568631
                 {txt}sigma_e {c |} {res} .21833379
                     {txt}rho {c |} {res} .66218996{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET  i.year if include==1 & incquart<3, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     4536
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1019

{txt}R-sq:  Within  = {res}0.0229                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0010                                        {txt}avg = {res}      4.5
{txt}       Overall = {res}0.0054                                        {txt}max = {res}       11

                                                {txt}F({res}11{txt},{res}1018{txt})         = {res}     6.07
{txt}corr(u_i, Xb)  = {res}0.0019                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,019} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .2969196{col 26}{space 2} .1669279{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.0306426{col 67}{space 3} .6244817
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1780719{col 26}{space 2} .1553106{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.1266937{col 67}{space 3} .4828375
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .2371978{col 26}{space 2} .1621199{col 37}{space 1}    1.46{col 46}{space 3}0.144{col 54}{space 4}-.0809296{col 67}{space 3} .5553252
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .3776479{col 26}{space 2} .1764727{col 37}{space 1}    2.14{col 46}{space 3}0.033{col 54}{space 4}  .031356{col 67}{space 3} .7239398
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .7354086{col 26}{space 2} .1723704{col 37}{space 1}    4.27{col 46}{space 3}0.000{col 54}{space 4} .3971667{col 67}{space 3}  1.07365
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}  .364817{col 26}{space 2} .2135867{col 37}{space 1}    1.71{col 46}{space 3}0.088{col 54}{space 4}-.0543035{col 67}{space 3} .7839375
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .5689205{col 26}{space 2} .2193057{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .1385776{col 67}{space 3} .9992634
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0650651{col 26}{space 2}  .222919{col 37}{space 1}    0.29{col 46}{space 3}0.770{col 54}{space 4}-.3723682{col 67}{space 3} .5024985
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}  .428993{col 26}{space 2}  .229984{col 37}{space 1}    1.87{col 46}{space 3}0.062{col 54}{space 4}-.0223039{col 67}{space 3} .8802899
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .4003658{col 26}{space 2} .2312251{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0533665{col 67}{space 3} .8540982
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .5821046{col 26}{space 2} .2459497{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0994782{col 67}{space 3} 1.064731
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.066463{col 26}{space 2} .1514739{col 37}{space 1}  -13.64{col 46}{space 3}0.000{col 54}{space 4}-2.363699{col 67}{space 3}-1.769226
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.3645848
     {txt}sigma_e {c |} {res} 1.6337694
         {txt}rho {c |} {res}  .8092014{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  PVVsympmean ATET i.oplcat   lninc i.employ  i.year if include==1 & incquart<3, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     4492
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1015

{txt}R-sq:  Within  = {res}0.0294                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0997                                        {txt}avg = {res}      4.4
{txt}       Overall = {res}0.0923                                        {txt}max = {res}       11

                                                {txt}F({res}22{txt},{res}1014{txt})         = {res}     3.83
{txt}corr(u_i, Xb)  = {res}0.1258                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,015} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .3006125{col 38}{space 2} .1707014{col 49}{space 1}    1.76{col 58}{space 3}0.079{col 66}{space 4}-.0343559{col 79}{space 3} .6355809
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .5611234{col 38}{space 2} .5387315{col 49}{space 1}    1.04{col 58}{space 3}0.298{col 66}{space 4}-.4960328{col 79}{space 3}  1.61828
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.1304432{col 38}{space 2} .6582347{col 49}{space 1}   -0.20{col 58}{space 3}0.843{col 66}{space 4}-1.422101{col 79}{space 3} 1.161215
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .5451141{col 38}{space 2} .4837077{col 49}{space 1}    1.13{col 58}{space 3}0.260{col 66}{space 4}-.4040685{col 79}{space 3} 1.494297
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.6709444{col 38}{space 2}  .776682{col 49}{space 1}   -0.86{col 58}{space 3}0.388{col 66}{space 4}-2.195032{col 79}{space 3} .8531436
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-1.526857{col 38}{space 2} .9113251{col 49}{space 1}   -1.68{col 58}{space 3}0.094{col 66}{space 4}-3.315156{col 79}{space 3} .2614423
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0249298{col 38}{space 2} .0469361{col 49}{space 1}   -0.53{col 58}{space 3}0.595{col 66}{space 4}-.1170328{col 79}{space 3} .0671733
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0592871{col 38}{space 2} .2773177{col 49}{space 1}   -0.21{col 58}{space 3}0.831{col 66}{space 4}-.6034693{col 79}{space 3} .4848951
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0960327{col 38}{space 2} .1998738{col 49}{space 1}   -0.48{col 58}{space 3}0.631{col 66}{space 4}-.4882463{col 79}{space 3} .2961809
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.5050055{col 38}{space 2} .4313542{col 49}{space 1}   -1.17{col 58}{space 3}0.242{col 66}{space 4}-1.351455{col 79}{space 3} .3414435
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0937061{col 38}{space 2} .3413462{col 49}{space 1}   -0.27{col 58}{space 3}0.784{col 66}{space 4}-.7635319{col 79}{space 3} .5761197
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0036542{col 38}{space 2} .2149577{col 49}{space 1}   -0.02{col 58}{space 3}0.986{col 66}{space 4}-.4254669{col 79}{space 3} .4181586
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1481225{col 38}{space 2} .1497675{col 49}{space 1}    0.99{col 58}{space 3}0.323{col 66}{space 4}-.1457672{col 79}{space 3} .4420122
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1972913{col 38}{space 2} .1648756{col 49}{space 1}    1.20{col 58}{space 3}0.232{col 66}{space 4}-.1262451{col 79}{space 3} .5208276
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .3488708{col 38}{space 2} .1769985{col 49}{space 1}    1.97{col 58}{space 3}0.049{col 66}{space 4} .0015455{col 79}{space 3}  .696196
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .7070565{col 38}{space 2} .1718097{col 49}{space 1}    4.12{col 58}{space 3}0.000{col 66}{space 4} .3699133{col 79}{space 3}   1.0442
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3401554{col 38}{space 2} .2176525{col 49}{space 1}    1.56{col 58}{space 3}0.118{col 66}{space 4}-.0869455{col 79}{space 3} .7672563
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .5594461{col 38}{space 2} .2252685{col 49}{space 1}    2.48{col 58}{space 3}0.013{col 66}{space 4} .1174003{col 79}{space 3} 1.001492
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0400291{col 38}{space 2} .2303614{col 49}{space 1}    0.17{col 58}{space 3}0.862{col 66}{space 4}-.4120104{col 79}{space 3} .4920687
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4072616{col 38}{space 2} .2394373{col 49}{space 1}    1.70{col 58}{space 3}0.089{col 66}{space 4}-.0625876{col 79}{space 3} .8771108
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3702654{col 38}{space 2} .2437692{col 49}{space 1}    1.52{col 58}{space 3}0.129{col 66}{space 4}-.1080844{col 79}{space 3} .8486152
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .5562071{col 38}{space 2} .2553182{col 49}{space 1}    2.18{col 58}{space 3}0.030{col 66}{space 4} .0551946{col 79}{space 3}  1.05722
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.874645{col 38}{space 2} .5915716{col 49}{space 1}   -3.17{col 58}{space 3}0.002{col 66}{space 4} -3.03549{col 79}{space 3}-.7138006
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.2123197
                 {txt}sigma_e {c |} {res} 1.6259344
                     {txt}rho {c |} {res} .79605555{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET rentGWE i.year if include2==1 & incquart<3, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     4,958
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,035

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0223{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0000{col 63}{txt}avg{col 67}={col 69}{res}       4.8
{txt}     Overall = {res}0.0034{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}1034{txt}){col 67}={col 70}{res}     6.50
{txt}corr(u_i, Xb) = {res}-0.0118{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,035} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .3201507{col 26}{space 2} .1685201{col 37}{space 1}    1.90{col 46}{space 3}0.058{col 54}{space 4}-.0105297{col 67}{space 3} .6508311
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2}-.1195333{col 26}{space 2} .1655094{col 37}{space 1}   -0.72{col 46}{space 3}0.470{col 54}{space 4}-.4443059{col 67}{space 3} .2052393
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1763632{col 26}{space 2} .1343653{col 37}{space 1}    1.31{col 46}{space 3}0.190{col 54}{space 4}-.0872966{col 67}{space 3} .4400231
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .1885732{col 26}{space 2} .1447049{col 37}{space 1}    1.30{col 46}{space 3}0.193{col 54}{space 4}-.0953756{col 67}{space 3}  .472522
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .3332616{col 26}{space 2} .1569614{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0252624{col 67}{space 3} .6412608
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .7059003{col 26}{space 2} .1533619{col 37}{space 1}    4.60{col 46}{space 3}0.000{col 54}{space 4} .4049642{col 67}{space 3} 1.006836
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .3218852{col 26}{space 2} .2057615{col 37}{space 1}    1.56{col 46}{space 3}0.118{col 54}{space 4}-.0818727{col 67}{space 3}  .725643
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .5292921{col 26}{space 2} .2045347{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .1279416{col 67}{space 3} .9306426
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0163871{col 26}{space 2} .2139029{col 37}{space 1}   -0.08{col 46}{space 3}0.939{col 54}{space 4}-.4361203{col 67}{space 3} .4033461
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .4010732{col 26}{space 2} .2128198{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0165348{col 67}{space 3} .8186811
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}  .334648{col 26}{space 2} .2177615{col 37}{space 1}    1.54{col 46}{space 3}0.125{col 54}{space 4}-.0926569{col 67}{space 3} .7619528
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .4577377{col 26}{space 2}  .227619{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0110898{col 67}{space 3} .9043855
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.037795{col 26}{space 2} .1872478{col 37}{space 1}  -10.88{col 46}{space 3}0.000{col 54}{space 4}-2.405225{col 67}{space 3}-1.670366
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.3374457
     {txt}sigma_e {c |} {res} 1.6516527
         {txt}rho {c |} {res} .80326999{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  PVVsympmean ATET rentGWE i.oplcat   lninc i.employ  i.year if include2==1 &  incquart<3, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     4,904
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,029

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0286{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0892{col 63}{txt}avg{col 67}={col 69}{res}       4.8
{txt}     Overall = {res}0.0851{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}23{txt},{res}1028{txt}){col 67}={col 70}{res}     4.37
{txt}corr(u_i, Xb) = {res}0.1279{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,029} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2948983{col 38}{space 2} .1725405{col 49}{space 1}    1.71{col 58}{space 3}0.088{col 66}{space 4}-.0436734{col 79}{space 3}   .63347
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2}-.0729585{col 38}{space 2} .1652321{col 49}{space 1}   -0.44{col 58}{space 3}0.659{col 66}{space 4}-.3971892{col 79}{space 3} .2512722
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .6429873{col 38}{space 2} .5291834{col 49}{space 1}    1.22{col 58}{space 3}0.225{col 66}{space 4}-.3954156{col 79}{space 3}  1.68139
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0581846{col 38}{space 2} .5963921{col 49}{space 1}   -0.10{col 58}{space 3}0.922{col 66}{space 4}-1.228469{col 79}{space 3}   1.1121
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}  .601844{col 38}{space 2} .4717032{col 49}{space 1}    1.28{col 58}{space 3}0.202{col 66}{space 4} -.323767{col 79}{space 3} 1.527455
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.2657013{col 38}{space 2} .6917454{col 49}{space 1}   -0.38{col 58}{space 3}0.701{col 66}{space 4}-1.623095{col 79}{space 3} 1.091693
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-1.492781{col 38}{space 2}  .843051{col 49}{space 1}   -1.77{col 58}{space 3}0.077{col 66}{space 4}-3.147078{col 79}{space 3} .1615166
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0418429{col 38}{space 2} .0395605{col 49}{space 1}   -1.06{col 58}{space 3}0.290{col 66}{space 4}-.1194714{col 79}{space 3} .0357856
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0434083{col 38}{space 2} .2596639{col 49}{space 1}   -0.17{col 58}{space 3}0.867{col 66}{space 4}-.5529401{col 79}{space 3} .4661236
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0556705{col 38}{space 2} .2064663{col 49}{space 1}    0.27{col 58}{space 3}0.787{col 66}{space 4}-.3494731{col 79}{space 3} .4608141
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.2073639{col 38}{space 2}   .39421{col 49}{space 1}   -0.53{col 58}{space 3}0.599{col 66}{space 4}-.9809121{col 79}{space 3} .5661842
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.1037896{col 38}{space 2} .3313058{col 49}{space 1}   -0.31{col 58}{space 3}0.754{col 66}{space 4}-.7539025{col 79}{space 3} .5463232
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0799072{col 38}{space 2} .2182366{col 49}{space 1}    0.37{col 58}{space 3}0.714{col 66}{space 4}-.3483328{col 79}{space 3} .5081472
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1583852{col 38}{space 2} .1303133{col 49}{space 1}    1.22{col 58}{space 3}0.224{col 66}{space 4}-.0973253{col 79}{space 3} .4140956
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1592468{col 38}{space 2} .1471901{col 49}{space 1}    1.08{col 58}{space 3}0.280{col 66}{space 4}-.1295806{col 79}{space 3} .4480742
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .3083612{col 38}{space 2} .1586776{col 49}{space 1}    1.94{col 58}{space 3}0.052{col 66}{space 4}-.0030076{col 79}{space 3} .6197301
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .6798546{col 38}{space 2} .1537324{col 49}{space 1}    4.42{col 58}{space 3}0.000{col 66}{space 4} .3781895{col 79}{space 3} .9815197
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3188957{col 38}{space 2} .2091128{col 49}{space 1}    1.52{col 58}{space 3}0.128{col 66}{space 4} -.091441{col 79}{space 3} .7292324
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .5423933{col 38}{space 2} .2087687{col 49}{space 1}    2.60{col 58}{space 3}0.010{col 66}{space 4} .1327319{col 79}{space 3} .9520547
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0147039{col 38}{space 2} .2186085{col 49}{space 1}   -0.07{col 58}{space 3}0.946{col 66}{space 4}-.4436737{col 79}{space 3} .4142659
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .3975923{col 38}{space 2} .2193506{col 49}{space 1}    1.81{col 58}{space 3}0.070{col 66}{space 4}-.0328336{col 79}{space 3} .8280183
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3276829{col 38}{space 2} .2270102{col 49}{space 1}    1.44{col 58}{space 3}0.149{col 66}{space 4}-.1177733{col 79}{space 3} .7731392
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .4559521{col 38}{space 2} .2349424{col 49}{space 1}    1.94{col 58}{space 3}0.053{col 66}{space 4}-.0050693{col 79}{space 3} .9169735
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.942589{col 38}{space 2} .5595205{col 49}{space 1}   -3.47{col 58}{space 3}0.001{col 66}{space 4}-3.040522{col 79}{space 3}-.8446565
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.2015814
                 {txt}sigma_e {c |} {res} 1.6440001
                     {txt}rho {c |} {res} .79134056{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
.   
. esttab using "regression1lowinc.tex", replace f   ///
>  b(2) se(2) ///
>  keep(ATET) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1lowinc.tex"'})

{com}.   
.   *Table with all the control variables
.   esttab using "regression1lowincappendix.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year  ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1lowincappendix.tex"'})

{com}.   
.  est clear
{res}{txt}
{com}.  
.  
.    *Using estout package for LatexTables                  
. est clear
{txt}
{com}.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET  i.year if include==1 & incquart>2 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     1122
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      404

{txt}R-sq:  Within  = {res}0.0213                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0004                                        {txt}avg = {res}      2.8
{txt}       Overall = {res}0.0025                                        {txt}max = {res}       12

                                                {txt}F({res}12{txt},{res}403{txt})          = {res}     1.21
{txt}corr(u_i, Xb)  = {res}-0.0439                        {txt}Prob > F           =    {res}0.2749

{txt}{ralign 78:(Std. err. adjusted for {res:404} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} -.008414{col 26}{space 2} .0412595{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-.0895248{col 67}{space 3} .0726968
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0227347{col 26}{space 2} .0457958{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0672938{col 67}{space 3} .1127633
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}  .008777{col 26}{space 2}  .042114{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.0740136{col 67}{space 3} .0915676
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} -.058961{col 26}{space 2} .0570383{col 37}{space 1}   -1.03{col 46}{space 3}0.302{col 54}{space 4}-.1710909{col 67}{space 3} .0531688
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0748494{col 26}{space 2} .0537382{col 37}{space 1}   -1.39{col 46}{space 3}0.164{col 54}{space 4}-.1804916{col 67}{space 3} .0307929
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0472059{col 26}{space 2}  .050406{col 37}{space 1}   -0.94{col 46}{space 3}0.350{col 54}{space 4}-.1462973{col 67}{space 3} .0518856
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0152099{col 26}{space 2} .0521855{col 37}{space 1}   -0.29{col 46}{space 3}0.771{col 54}{space 4}-.1177997{col 67}{space 3} .0873799
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0573337{col 26}{space 2} .0511598{col 37}{space 1}   -1.12{col 46}{space 3}0.263{col 54}{space 4}-.1579071{col 67}{space 3} .0432397
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0238599{col 26}{space 2} .0543855{col 37}{space 1}   -0.44{col 46}{space 3}0.661{col 54}{space 4}-.1307746{col 67}{space 3} .0830547
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0006474{col 26}{space 2} .0546881{col 37}{space 1}    0.01{col 46}{space 3}0.991{col 54}{space 4}-.1068623{col 67}{space 3}  .108157
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0164323{col 26}{space 2} .0527238{col 37}{space 1}   -0.31{col 46}{space 3}0.755{col 54}{space 4}-.1200802{col 67}{space 3} .0872157
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0097789{col 26}{space 2} .0567636{col 37}{space 1}   -0.17{col 46}{space 3}0.863{col 54}{space 4}-.1213686{col 67}{space 3} .1018109
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1519297{col 26}{space 2} .0456261{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .0622349{col 67}{space 3} .2416245
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30506757
     {txt}sigma_e {c |} {res} .20231919
         {txt}rho {c |} {res}  .6945278{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  extremeright ATET i.oplcat   lninc i.employ  i.year if include==1 & incquart>2, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}      873
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      318

{txt}R-sq:  Within  = {res}0.0437                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0017                                        {txt}avg = {res}      2.7
{txt}       Overall = {res}0.0138                                        {txt}max = {res}       11

{col 49}{help j_robustsingular##|_new:F(19,317)}{col 68}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb)  = {res}-0.2595                        {txt}Prob > F           =    {res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:318} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0337105{col 38}{space 2} .0475793{col 49}{space 1}   -0.71{col 58}{space 3}0.479{col 66}{space 4}-.1273215{col 79}{space 3} .0599005
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0127915{col 38}{space 2} .0595478{col 49}{space 1}    0.21{col 58}{space 3}0.830{col 66}{space 4}-.1043674{col 79}{space 3} .1299504
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.1596848{col 38}{space 2} .0990061{col 49}{space 1}   -1.61{col 58}{space 3}0.108{col 66}{space 4} -.354477{col 79}{space 3} .0351074
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0069283{col 38}{space 2} .0333223{col 49}{space 1}   -0.21{col 58}{space 3}0.835{col 66}{space 4}-.0724892{col 79}{space 3} .0586325
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0202829{col 38}{space 2} .0912394{col 49}{space 1}   -0.22{col 58}{space 3}0.824{col 66}{space 4}-.1997942{col 79}{space 3} .1592284
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0501638{col 38}{space 2} .0793372{col 49}{space 1}   -0.63{col 58}{space 3}0.528{col 66}{space 4}-.2062579{col 79}{space 3} .1059303
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0100831{col 38}{space 2} .0847734{col 49}{space 1}    0.12{col 58}{space 3}0.905{col 66}{space 4}-.1567066{col 79}{space 3} .1768728
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.4758544{col 38}{space 2}  .336302{col 49}{space 1}   -1.41{col 58}{space 3}0.158{col 66}{space 4} -1.13752{col 79}{space 3} .1858116
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1146074{col 38}{space 2} .0704294{col 49}{space 1}   -1.63{col 58}{space 3}0.105{col 66}{space 4}-.2531756{col 79}{space 3} .0239607
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}  .021973{col 38}{space 2} .0285066{col 49}{space 1}    0.77{col 58}{space 3}0.441{col 66}{space 4} -.034113{col 79}{space 3} .0780591
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0439112{col 38}{space 2} .0629794{col 49}{space 1}   -0.70{col 58}{space 3}0.486{col 66}{space 4}-.1678216{col 79}{space 3} .0799992
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0242238{col 38}{space 2} .0493466{col 49}{space 1}    0.49{col 58}{space 3}0.624{col 66}{space 4}-.0728644{col 79}{space 3}  .121312
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0557726{col 38}{space 2} .0497317{col 49}{space 1}    1.12{col 58}{space 3}0.263{col 66}{space 4}-.0420734{col 79}{space 3} .1536185
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}  .031144{col 38}{space 2} .0524656{col 49}{space 1}    0.59{col 58}{space 3}0.553{col 66}{space 4}-.0720809{col 79}{space 3} .1343689
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0335144{col 38}{space 2} .0734897{col 49}{space 1}   -0.46{col 58}{space 3}0.649{col 66}{space 4}-.1781037{col 79}{space 3} .1110748
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0707607{col 38}{space 2} .0719183{col 49}{space 1}   -0.98{col 58}{space 3}0.326{col 66}{space 4}-.2122582{col 79}{space 3} .0707368
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0388752{col 38}{space 2} .0653583{col 49}{space 1}   -0.59{col 58}{space 3}0.552{col 66}{space 4} -.167466{col 79}{space 3} .0897156
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0052863{col 38}{space 2} .0648863{col 49}{space 1}    0.08{col 58}{space 3}0.935{col 66}{space 4}-.1223759{col 79}{space 3} .1329486
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0185839{col 38}{space 2} .0649946{col 49}{space 1}   -0.29{col 58}{space 3}0.775{col 66}{space 4}-.1464592{col 79}{space 3} .1092915
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0140481{col 38}{space 2} .0739641{col 49}{space 1}    0.19{col 58}{space 3}0.849{col 66}{space 4}-.1314745{col 79}{space 3} .1595706
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0456756{col 38}{space 2} .0727848{col 49}{space 1}    0.63{col 58}{space 3}0.531{col 66}{space 4}-.0975268{col 79}{space 3} .1888779
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0082868{col 38}{space 2} .0742279{col 49}{space 1}    0.11{col 58}{space 3}0.911{col 66}{space 4}-.1377548{col 79}{space 3} .1543285
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .0453677{col 38}{space 2} .0801885{col 49}{space 1}    0.57{col 58}{space 3}0.572{col 66}{space 4}-.1124012{col 79}{space 3} .2031365
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1131466{col 38}{space 2} .6230465{col 49}{space 1}    0.18{col 58}{space 3}0.856{col 66}{space 4}-1.112682{col 79}{space 3} 1.338975
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res}  .3295114
                 {txt}sigma_e {c |} {res} .21154749
                     {txt}rho {c |} {res} .70813076{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET rentGWE i.year if include2==1 & incquart>2, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,234
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       423

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0261{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0036{col 63}{txt}avg{col 67}={col 69}{res}       2.9
{txt}     Overall = {res}0.0013{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}422{txt}){col 67}={col 70}{res}     1.37
{txt}corr(u_i, Xb) = {res}-0.0710{txt}{col 49}Prob > F{col 67}={col 73}{res}0.1721

{txt}{ralign 78:(Std. err. adjusted for {res:423} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0196053{col 26}{space 2} .0363984{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}  -.09115{col 67}{space 3} .0519394
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2}-.0138592{col 26}{space 2} .0472264{col 37}{space 1}   -0.29{col 46}{space 3}0.769{col 54}{space 4}-.1066876{col 67}{space 3} .0789691
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0204851{col 26}{space 2} .0404306{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-.0589854{col 67}{space 3} .0999555
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0178046{col 26}{space 2}   .04039{col 37}{space 1}    0.44{col 46}{space 3}0.660{col 54}{space 4} -.061586{col 67}{space 3} .0971952
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0766522{col 26}{space 2}  .054499{col 37}{space 1}   -1.41{col 46}{space 3}0.160{col 54}{space 4}-.1837755{col 67}{space 3} .0304711
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0748182{col 26}{space 2} .0483951{col 37}{space 1}   -1.55{col 46}{space 3}0.123{col 54}{space 4}-.1699436{col 67}{space 3} .0203071
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0459821{col 26}{space 2} .0458121{col 37}{space 1}   -1.00{col 46}{space 3}0.316{col 54}{space 4}-.1360304{col 67}{space 3} .0440662
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0083136{col 26}{space 2} .0497072{col 37}{space 1}   -0.17{col 46}{space 3}0.867{col 54}{space 4}-.1060182{col 67}{space 3} .0893909
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0508338{col 26}{space 2} .0460262{col 37}{space 1}   -1.10{col 46}{space 3}0.270{col 54}{space 4} -.141303{col 67}{space 3} .0396354
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0239496{col 26}{space 2} .0481014{col 37}{space 1}   -0.50{col 46}{space 3}0.619{col 54}{space 4}-.1184977{col 67}{space 3} .0705985
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0074901{col 26}{space 2} .0482278{col 37}{space 1}    0.16{col 46}{space 3}0.877{col 54}{space 4}-.0873065{col 67}{space 3} .1022866
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} -.026377{col 26}{space 2} .0483314{col 37}{space 1}   -0.55{col 46}{space 3}0.586{col 54}{space 4}-.1213773{col 67}{space 3} .0686233
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0291261{col 26}{space 2} .0527167{col 37}{space 1}   -0.55{col 46}{space 3}0.581{col 54}{space 4}-.1327461{col 67}{space 3}  .074494
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1770424{col 26}{space 2}  .046927{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .0848026{col 67}{space 3} .2692822
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30283894
     {txt}sigma_e {c |} {res} .20416771
         {txt}rho {c |} {res} .68751317{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  extremeright ATET rentGWE i.oplcat   lninc i.employ  i.year if include2==1 & incquart>2, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       967
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       335

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0584{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0350{col 63}{txt}avg{col 67}={col 69}{res}       2.9
{txt}     Overall = {res}0.0133{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(22,334)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.6478{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:335} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0169976{col 38}{space 2} .0398259{col 49}{space 1}   -0.43{col 58}{space 3}0.670{col 66}{space 4}-.0953388{col 79}{space 3} .0613437
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2}-.0384347{col 38}{space 2} .0507106{col 49}{space 1}   -0.76{col 58}{space 3}0.449{col 66}{space 4}-.1381871{col 79}{space 3} .0613177
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1317115{col 38}{space 2} .1403109{col 49}{space 1}   -0.94{col 58}{space 3}0.349{col 66}{space 4}-.4077159{col 79}{space 3}  .144293
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1351892{col 38}{space 2}  .182486{col 49}{space 1}    0.74{col 58}{space 3}0.459{col 66}{space 4}-.2237775{col 79}{space 3} .4941558
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.1458432{col 38}{space 2}  .137537{col 49}{space 1}   -1.06{col 58}{space 3}0.290{col 66}{space 4}-.4163911{col 79}{space 3} .1247048
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .3273768{col 38}{space 2} .1583601{col 49}{space 1}    2.07{col 58}{space 3}0.039{col 66}{space 4} .0158678{col 79}{space 3} .6388857
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .2262143{col 38}{space 2} .1690525{col 49}{space 1}    1.34{col 58}{space 3}0.182{col 66}{space 4}-.1063276{col 79}{space 3} .5587562
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0120616{col 38}{space 2} .0759169{col 49}{space 1}    0.16{col 58}{space 3}0.874{col 66}{space 4}-.1372739{col 79}{space 3}  .161397
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.3302599{col 38}{space 2} .3162961{col 49}{space 1}   -1.04{col 58}{space 3}0.297{col 66}{space 4}-.9524435{col 79}{space 3} .2919237
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1133012{col 38}{space 2}  .071728{col 49}{space 1}   -1.58{col 58}{space 3}0.115{col 66}{space 4}-.2543968{col 79}{space 3} .0277945
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0169703{col 38}{space 2} .0264541{col 49}{space 1}   -0.64{col 58}{space 3}0.522{col 66}{space 4} -.069008{col 79}{space 3} .0350674
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0350664{col 38}{space 2} .0621706{col 49}{space 1}   -0.56{col 58}{space 3}0.573{col 66}{space 4}-.1573617{col 79}{space 3} .0872288
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0302126{col 38}{space 2} .0477584{col 49}{space 1}    0.63{col 58}{space 3}0.527{col 66}{space 4}-.0637326{col 79}{space 3} .1241577
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0520927{col 38}{space 2} .0420601{col 49}{space 1}    1.24{col 58}{space 3}0.216{col 66}{space 4}-.0306434{col 79}{space 3} .1348288
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0452922{col 38}{space 2} .0477674{col 49}{space 1}    0.95{col 58}{space 3}0.344{col 66}{space 4}-.0486706{col 79}{space 3}  .139255
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0481275{col 38}{space 2} .0638693{col 49}{space 1}   -0.75{col 58}{space 3}0.452{col 66}{space 4}-.1737643{col 79}{space 3} .0775092
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0658004{col 38}{space 2} .0618372{col 49}{space 1}   -1.06{col 58}{space 3}0.288{col 66}{space 4}-.1874397{col 79}{space 3}  .055839
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0324446{col 38}{space 2} .0565172{col 49}{space 1}   -0.57{col 58}{space 3}0.566{col 66}{space 4}-.1436191{col 79}{space 3} .0787299
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0051498{col 38}{space 2} .0627771{col 49}{space 1}   -0.08{col 58}{space 3}0.935{col 66}{space 4}-.1286382{col 79}{space 3} .1183385
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0271961{col 38}{space 2} .0600486{col 49}{space 1}   -0.45{col 58}{space 3}0.651{col 66}{space 4}-.1453173{col 79}{space 3} .0909251
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0019218{col 38}{space 2} .0685533{col 49}{space 1}   -0.03{col 58}{space 3}0.978{col 66}{space 4}-.1367724{col 79}{space 3} .1329289
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0306336{col 38}{space 2} .0649005{col 49}{space 1}    0.47{col 58}{space 3}0.637{col 66}{space 4}-.0970316{col 79}{space 3} .1582989
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0010471{col 38}{space 2} .0724434{col 49}{space 1}   -0.01{col 58}{space 3}0.988{col 66}{space 4}-.1435498{col 79}{space 3} .1414557
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .0019622{col 38}{space 2} .0758261{col 49}{space 1}    0.03{col 58}{space 3}0.979{col 66}{space 4}-.1471946{col 79}{space 3} .1511191
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .0053153{col 38}{space 2} .5860569{col 49}{space 1}    0.01{col 58}{space 3}0.993{col 66}{space 4}-1.147513{col 79}{space 3} 1.158143
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .41611809
                 {txt}sigma_e {c |} {res} .21170474
                     {txt}rho {c |} {res} .79438341{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET  i.year if include==1 & incquart>2, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     1208
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      431

{txt}R-sq:  Within  = {res}0.0146                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0040                                        {txt}avg = {res}      2.8
{txt}       Overall = {res}0.0117                                        {txt}max = {res}       11

                                                {txt}F({res}11{txt},{res}430{txt})          = {res}     1.25
{txt}corr(u_i, Xb)  = {res}0.0597                         {txt}Prob > F           =    {res}0.2505

{txt}{ralign 78:(Std. err. adjusted for {res:431} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}   .27164{col 26}{space 2} .2994181{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.3168651{col 67}{space 3}  .860145
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1201058{col 26}{space 2} .2735796{col 37}{space 1}    0.44{col 46}{space 3}0.661{col 54}{space 4}-.4176138{col 67}{space 3} .6578254
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .1604148{col 26}{space 2} .3102997{col 37}{space 1}    0.52{col 46}{space 3}0.605{col 54}{space 4}-.4494781{col 67}{space 3} .7703077
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .1270648{col 26}{space 2} .3035587{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.4695786{col 67}{space 3} .7237083
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .1481072{col 26}{space 2} .2829583{col 37}{space 1}    0.52{col 46}{space 3}0.601{col 54}{space 4}-.4080463{col 67}{space 3} .7042606
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}  .156995{col 26}{space 2} .3138172{col 37}{space 1}    0.50{col 46}{space 3}0.617{col 54}{space 4}-.4598114{col 67}{space 3} .7738015
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .0576472{col 26}{space 2} .3551338{col 37}{space 1}    0.16{col 46}{space 3}0.871{col 54}{space 4} -.640367{col 67}{space 3} .7556614
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.2575174{col 26}{space 2} .3283796{col 37}{space 1}   -0.78{col 46}{space 3}0.433{col 54}{space 4}-.9029463{col 67}{space 3} .3879115
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .3045487{col 26}{space 2} .3417346{col 37}{space 1}    0.89{col 46}{space 3}0.373{col 54}{space 4}-.3671294{col 67}{space 3} .9762268
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0722699{col 26}{space 2} .3639965{col 37}{space 1}   -0.20{col 46}{space 3}0.843{col 54}{space 4}-.7877037{col 67}{space 3} .6431639
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.1991221{col 26}{space 2}  .349692{col 37}{space 1}   -0.57{col 46}{space 3}0.569{col 54}{space 4}-.8864405{col 67}{space 3} .4881962
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.439558{col 26}{space 2} .2497397{col 37}{space 1}   -9.77{col 46}{space 3}0.000{col 54}{space 4}-2.930421{col 67}{space 3}-1.948696
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.3985599
     {txt}sigma_e {c |} {res} 1.4725559
         {txt}rho {c |} {res} .84193605{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  PVVsympmean ATET i.oplcat   lninc i.employ  i.year if include==1 & incquart>2, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}      940
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      344

{txt}R-sq:  Within  = {res}0.0326                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0395                                        {txt}avg = {res}      2.7
{txt}       Overall = {res}0.0416                                        {txt}max = {res}       11

{col 49}{help j_robustsingular##|_new:F(18,343)}{col 68}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb)  = {res}-0.4829                        {txt}Prob > F           =    {res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:344} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2178923{col 38}{space 2} .3751587{col 49}{space 1}    0.58{col 58}{space 3}0.562{col 66}{space 4}-.5200088{col 79}{space 3} .9557935
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.3718116{col 38}{space 2} .3094963{col 49}{space 1}   -1.20{col 58}{space 3}0.230{col 66}{space 4}-.9805612{col 79}{space 3}  .236938
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .6149425{col 38}{space 2} .6050129{col 49}{space 1}    1.02{col 58}{space 3}0.310{col 66}{space 4}  -.57506{col 79}{space 3} 1.804945
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-1.846418{col 38}{space 2} .1993311{col 49}{space 1}   -9.26{col 58}{space 3}0.000{col 66}{space 4}-2.238483{col 79}{space 3}-1.454353
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .1840908{col 38}{space 2} .7825647{col 49}{space 1}    0.24{col 58}{space 3}0.814{col 66}{space 4}-1.355139{col 79}{space 3} 1.723321
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .2188345{col 38}{space 2} .5187152{col 49}{space 1}    0.42{col 58}{space 3}0.673{col 66}{space 4}-.8014286{col 79}{space 3} 1.239098
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.8143236{col 38}{space 2} .5519045{col 49}{space 1}   -1.48{col 58}{space 3}0.141{col 66}{space 4}-1.899867{col 79}{space 3} .2712198
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-1.288767{col 38}{space 2} .5809599{col 49}{space 1}   -2.22{col 58}{space 3}0.027{col 66}{space 4}-2.431459{col 79}{space 3}-.1460741
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0652717{col 38}{space 2} .5074072{col 49}{space 1}   -0.13{col 58}{space 3}0.898{col 66}{space 4}-1.063293{col 79}{space 3} .9327497
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}  .844991{col 38}{space 2} .4498072{col 49}{space 1}    1.88{col 58}{space 3}0.061{col 66}{space 4}-.0397367{col 79}{space 3} 1.729719
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} 1.061965{col 38}{space 2} .4053304{col 49}{space 1}    2.62{col 58}{space 3}0.009{col 66}{space 4} .2647189{col 79}{space 3} 1.859211
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.7135836{col 38}{space 2} .4866046{col 49}{space 1}   -1.47{col 58}{space 3}0.143{col 66}{space 4}-1.670688{col 79}{space 3} .2435211
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1808476{col 38}{space 2} .3005065{col 49}{space 1}    0.60{col 58}{space 3}0.548{col 66}{space 4}-.4102199{col 79}{space 3} .7719151
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}  .233206{col 38}{space 2} .3630707{col 49}{space 1}    0.64{col 58}{space 3}0.521{col 66}{space 4}-.4809193{col 79}{space 3} .9473314
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2104673{col 38}{space 2} .3516809{col 49}{space 1}    0.60{col 58}{space 3}0.550{col 66}{space 4}-.4812553{col 79}{space 3} .9021898
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .3161949{col 38}{space 2} .3297656{col 49}{space 1}    0.96{col 58}{space 3}0.338{col 66}{space 4}-.3324224{col 79}{space 3} .9648122
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3443154{col 38}{space 2} .3711883{col 49}{space 1}    0.93{col 58}{space 3}0.354{col 66}{space 4}-.3857765{col 79}{space 3} 1.074407
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}  .243771{col 38}{space 2} .4210638{col 49}{space 1}    0.58{col 58}{space 3}0.563{col 66}{space 4}-.5844212{col 79}{space 3} 1.071963
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}  .013853{col 38}{space 2} .3944982{col 49}{space 1}    0.04{col 58}{space 3}0.972{col 66}{space 4}-.7620871{col 79}{space 3} .7897932
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .5889428{col 38}{space 2} .4133275{col 49}{space 1}    1.42{col 58}{space 3}0.155{col 66}{space 4}-.2240328{col 79}{space 3} 1.401918
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}  .300503{col 38}{space 2} .4119155{col 49}{space 1}    0.73{col 58}{space 3}0.466{col 66}{space 4}-.5096955{col 79}{space 3} 1.110701
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .3764715{col 38}{space 2} .4233661{col 49}{space 1}    0.89{col 58}{space 3}0.375{col 66}{space 4} -.456249{col 79}{space 3} 1.209192
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 4.442351{col 38}{space 2}  4.28989{col 49}{space 1}    1.04{col 58}{space 3}0.301{col 66}{space 4}-3.995452{col 79}{space 3} 12.88015
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.7235032
                 {txt}sigma_e {c |} {res} 1.4559405
                     {txt}rho {c |} {res} .86738419{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET rentGWE i.year if include2==1 & incquart>2, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,323
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       449

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0168{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0154{col 63}{txt}avg{col 67}={col 69}{res}       2.9
{txt}     Overall = {res}0.0189{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}448{txt}){col 67}={col 70}{res}     1.46
{txt}corr(u_i, Xb) = {res}0.0782{txt}{col 49}Prob > F{col 67}={col 73}{res}0.1356

{txt}{ralign 78:(Std. err. adjusted for {res:449} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .2209743{col 26}{space 2} .2798257{col 37}{space 1}    0.79{col 46}{space 3}0.430{col 54}{space 4}-.3289597{col 67}{space 3} .7709083
{txt}{space 5}rentGWE {c |}{col 14}{res}{space 2} .2333094{col 26}{space 2} .2808383{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.3186146{col 67}{space 3} .7852333
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1825269{col 26}{space 2} .2491728{col 37}{space 1}    0.73{col 46}{space 3}0.464{col 54}{space 4}-.3071659{col 67}{space 3} .6722196
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .2344522{col 26}{space 2} .2883067{col 37}{space 1}    0.81{col 46}{space 3}0.417{col 54}{space 4}-.3321493{col 67}{space 3} .8010536
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .0617823{col 26}{space 2} .3010669{col 37}{space 1}    0.21{col 46}{space 3}0.838{col 54}{space 4}-.5298964{col 67}{space 3} .6534611
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .1097551{col 26}{space 2} .2747941{col 37}{space 1}    0.40{col 46}{space 3}0.690{col 54}{space 4}-.4302903{col 67}{space 3} .6498005
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .1335868{col 26}{space 2} .3436723{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4}-.5418232{col 67}{space 3} .8089969
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0190361{col 26}{space 2} .3650639{col 37}{space 1}   -0.05{col 46}{space 3}0.958{col 54}{space 4}-.7364865{col 67}{space 3} .6984142
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.3430504{col 26}{space 2} .3615003{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-1.053497{col 67}{space 3} .3673964
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .2595906{col 26}{space 2} .3584112{col 37}{space 1}    0.72{col 46}{space 3}0.469{col 54}{space 4}-.4447854{col 67}{space 3} .9639666
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0041475{col 26}{space 2} .3594262{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-.7105182{col 67}{space 3} .7022233
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} -.109595{col 26}{space 2} .3700323{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.8368096{col 67}{space 3} .6176196
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.544919{col 26}{space 2} .2439524{col 37}{space 1}  -10.43{col 46}{space 3}0.000{col 54}{space 4}-3.024352{col 67}{space 3}-2.065485
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.3836128
     {txt}sigma_e {c |} {res} 1.4913165
         {txt}rho {c |} {res} .83734019{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  PVVsympmean ATET rentGWE i.oplcat   lninc i.employ  i.year if include2==1 &  incquart>2, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,036
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       360

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0890{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.1100{col 63}{txt}avg{col 67}={col 69}{res}       2.9
{txt}     Overall = {res}0.1013{col 63}{txt}max{col 67}={col 69}{res}        11

{col 49}{help j_robustsingular##|_new:F(21,359)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.7624{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:360} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}  .033038{col 38}{space 2} .3716034{col 49}{space 1}    0.09{col 58}{space 3}0.929{col 66}{space 4}-.6977551{col 79}{space 3}  .763831
{txt}{space 17}rentGWE {c |}{col 26}{res}{space 2} .1868327{col 38}{space 2} .2760678{col 49}{space 1}    0.68{col 58}{space 3}0.499{col 66}{space 4}-.3560805{col 79}{space 3} .7297459
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-1.876698{col 38}{space 2} 1.159878{col 49}{space 1}   -1.62{col 58}{space 3}0.107{col 66}{space 4}-4.157707{col 79}{space 3}   .40431
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} 2.932699{col 38}{space 2} 1.423068{col 49}{space 1}    2.06{col 58}{space 3}0.040{col 66}{space 4} .1341026{col 79}{space 3} 5.731296
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-3.223299{col 38}{space 2} 1.139675{col 49}{space 1}   -2.83{col 58}{space 3}0.005{col 66}{space 4}-5.464577{col 79}{space 3}-.9820211
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} 2.640599{col 38}{space 2} 1.261364{col 49}{space 1}    2.09{col 58}{space 3}0.037{col 66}{space 4} .1600073{col 79}{space 3} 5.121191
{txt}{space 16}college  {c |}{col 26}{res}{space 2} 2.273834{col 38}{space 2} 1.370378{col 49}{space 1}    1.66{col 58}{space 3}0.098{col 66}{space 4}-.4211435{col 79}{space 3} 4.968811
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.9949233{col 38}{space 2} .4915733{col 49}{space 1}   -2.02{col 58}{space 3}0.044{col 66}{space 4}-1.961649{col 79}{space 3}-.0281982
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}  .474066{col 38}{space 2} .3318698{col 49}{space 1}    1.43{col 58}{space 3}0.154{col 66}{space 4}-.1785871{col 79}{space 3} 1.126719
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0579088{col 38}{space 2} .5059989{col 49}{space 1}   -0.11{col 58}{space 3}0.909{col 66}{space 4}-1.053003{col 79}{space 3} .9371855
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .6955361{col 38}{space 2} .4168399{col 49}{space 1}    1.67{col 58}{space 3}0.096{col 66}{space 4}-.1242186{col 79}{space 3} 1.515291
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}   1.0658{col 38}{space 2} .3778404{col 49}{space 1}    2.82{col 58}{space 3}0.005{col 66}{space 4} .3227418{col 79}{space 3} 1.808859
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.7213701{col 38}{space 2} .4626163{col 49}{space 1}   -1.56{col 58}{space 3}0.120{col 66}{space 4}-1.631149{col 79}{space 3} .1884084
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .3414004{col 38}{space 2} .2690301{col 49}{space 1}    1.27{col 58}{space 3}0.205{col 66}{space 4}-.1876726{col 79}{space 3} .8704734
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .3882783{col 38}{space 2} .3221107{col 49}{space 1}    1.21{col 58}{space 3}0.229{col 66}{space 4}-.2451827{col 79}{space 3} 1.021739
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .3220807{col 38}{space 2}  .311669{col 49}{space 1}    1.03{col 58}{space 3}0.302{col 66}{space 4}-.2908456{col 79}{space 3}  .935007
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .4449179{col 38}{space 2} .2911085{col 49}{space 1}    1.53{col 58}{space 3}0.127{col 66}{space 4}-.1275742{col 79}{space 3}  1.01741
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .6150684{col 38}{space 2} .3561756{col 49}{space 1}    1.73{col 58}{space 3}0.085{col 66}{space 4}-.0853843{col 79}{space 3} 1.315521
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .4743073{col 38}{space 2} .3896544{col 49}{space 1}    1.22{col 58}{space 3}0.224{col 66}{space 4}-.2919846{col 79}{space 3} 1.240599
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .2085056{col 38}{space 2}  .371814{col 49}{space 1}    0.56{col 58}{space 3}0.575{col 66}{space 4}-.5227016{col 79}{space 3} .9397129
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .8120045{col 38}{space 2} .3726453{col 49}{space 1}    2.18{col 58}{space 3}0.030{col 66}{space 4} .0791626{col 79}{space 3} 1.544846
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .7204562{col 38}{space 2} .3743867{col 49}{space 1}    1.92{col 58}{space 3}0.055{col 66}{space 4}-.0158105{col 79}{space 3} 1.456723
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .7082304{col 38}{space 2} .3826904{col 49}{space 1}    1.85{col 58}{space 3}0.065{col 66}{space 4}-.0443662{col 79}{space 3} 1.460827
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 4.855985{col 38}{space 2} 4.012551{col 49}{space 1}    1.21{col 58}{space 3}0.227{col 66}{space 4}-3.035074{col 79}{space 3} 12.74704
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 4.9093653
                 {txt}sigma_e {c |} {res} 1.4348895
                     {txt}rho {c |} {res} .92129791{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
.   
. esttab using "regression1hiinc.tex", replace f   ///
>  b(2) se(2) ///
>  keep(ATET) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1hiinc.tex"'})

{com}.   
.   *Table with all the control variables
.   esttab using "regression1hiincappendix.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year  ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1hiincappendix.tex"'})

{com}.   
.  est clear
{res}{txt}
{com}.  
.  
.  
.  *Regressions on all parties
.  
.    *Using estout package for LatexTables                  
. est clear
{txt}
{com}.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  GL  ATET i.oplcat   lninc i.employ   i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5335
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1174

{txt}R-sq:  Within  = {res}0.0715                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0545                                        {txt}avg = {res}      4.5
{txt}       Overall = {res}0.0672                                        {txt}max = {res}       11

                                                {txt}F({res}22{txt},{res}1173{txt})         = {res}    11.92
{txt}corr(u_i, Xb)  = {res}0.0250                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,174} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      GL{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} -.276989{col 38}{space 2} .1369814{col 49}{space 1}   -2.02{col 58}{space 3}0.043{col 66}{space 4} -.545745{col 79}{space 3}-.0082331
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.6762177{col 38}{space 2} .3970644{col 49}{space 1}   -1.70{col 58}{space 3}0.089{col 66}{space 4}-1.455254{col 79}{space 3} .1028181
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1031067{col 38}{space 2} .4618748{col 49}{space 1}    0.22{col 58}{space 3}0.823{col 66}{space 4}-.8030863{col 79}{space 3}   1.0093
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.3944726{col 38}{space 2} .4177222{col 49}{space 1}   -0.94{col 58}{space 3}0.345{col 66}{space 4}-1.214039{col 79}{space 3} .4250935
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0131497{col 38}{space 2} .4624719{col 49}{space 1}   -0.03{col 58}{space 3}0.977{col 66}{space 4}-.9205142{col 79}{space 3} .8942147
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .7917067{col 38}{space 2} .5417999{col 49}{space 1}    1.46{col 58}{space 3}0.144{col 66}{space 4}-.2712984{col 79}{space 3} 1.854712
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .049195{col 38}{space 2} .0463162{col 49}{space 1}    1.06{col 58}{space 3}0.288{col 66}{space 4}-.0416769{col 79}{space 3} .1400668
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .1400629{col 38}{space 2} .2122516{col 49}{space 1}    0.66{col 58}{space 3}0.509{col 66}{space 4}-.2763723{col 79}{space 3} .5564982
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .1319605{col 38}{space 2} .1251874{col 49}{space 1}    1.05{col 58}{space 3}0.292{col 66}{space 4}-.1136557{col 79}{space 3} .3775768
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0501679{col 38}{space 2} .2321538{col 49}{space 1}   -0.22{col 58}{space 3}0.829{col 66}{space 4} -.505651{col 79}{space 3} .4053152
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1160251{col 38}{space 2} .2323729{col 49}{space 1}    0.50{col 58}{space 3}0.618{col 66}{space 4}-.3398878{col 79}{space 3}  .571938
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .2630645{col 38}{space 2} .1489688{col 49}{space 1}    1.77{col 58}{space 3}0.078{col 66}{space 4}-.0292105{col 79}{space 3} .5553394
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.1404088{col 38}{space 2} .0991041{col 49}{space 1}   -1.42{col 58}{space 3}0.157{col 66}{space 4}-.3348499{col 79}{space 3} .0540324
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2954954{col 38}{space 2} .1213958{col 49}{space 1}    2.43{col 58}{space 3}0.015{col 66}{space 4} .0573182{col 79}{space 3} .5336726
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.9628735{col 38}{space 2}  .124385{col 49}{space 1}   -7.74{col 58}{space 3}0.000{col 66}{space 4}-1.206915{col 79}{space 3}-.7188315
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.7712615{col 38}{space 2} .1235586{col 49}{space 1}   -6.24{col 58}{space 3}0.000{col 66}{space 4}-1.013682{col 79}{space 3} -.528841
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.2846223{col 38}{space 2} .1680708{col 49}{space 1}   -1.69{col 58}{space 3}0.091{col 66}{space 4}-.6143754{col 79}{space 3} .0451307
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.2132204{col 38}{space 2}  .171491{col 49}{space 1}   -1.24{col 58}{space 3}0.214{col 66}{space 4}-.5496838{col 79}{space 3}  .123243
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0911246{col 38}{space 2} .1737245{col 49}{space 1}   -0.52{col 58}{space 3}0.600{col 66}{space 4}  -.43197{col 79}{space 3} .2497207
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} -.286948{col 38}{space 2} .1826837{col 49}{space 1}   -1.57{col 58}{space 3}0.117{col 66}{space 4}-.6453713{col 79}{space 3} .0714753
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.6012831{col 38}{space 2} .1815297{col 49}{space 1}   -3.31{col 58}{space 3}0.001{col 66}{space 4}-.9574422{col 79}{space 3} -.245124
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.6658313{col 38}{space 2}  .183846{col 49}{space 1}   -3.62{col 58}{space 3}0.000{col 66}{space 4}-1.026535{col 79}{space 3}-.3051276
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.286006{col 38}{space 2} .4781245{col 49}{space 1}   11.06{col 58}{space 3}0.000{col 66}{space 4} 4.347931{col 79}{space 3}  6.22408
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.0200289
                 {txt}sigma_e {c |} {res} 1.3627172
                     {txt}rho {c |} {res} .68724319{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
.   eststo: xtreg  SP  ATET i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5823
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1189

{txt}R-sq:  Within  = {res}0.0476                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0019                                        {txt}avg = {res}      4.9
{txt}       Overall = {res}0.0189                                        {txt}max = {res}       12

                                                {txt}F({res}23{txt},{res}1188{txt})         = {res}     6.98
{txt}corr(u_i, Xb)  = {res}-0.0444                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,189} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      SP{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0577361{col 38}{space 2} .1215493{col 49}{space 1}   -0.48{col 58}{space 3}0.635{col 66}{space 4}-.2962113{col 79}{space 3} .1807391
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.2132219{col 38}{space 2}  .352996{col 49}{space 1}   -0.60{col 58}{space 3}0.546{col 66}{space 4} -.905787{col 79}{space 3} .4793432
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .2622146{col 38}{space 2} .4340863{col 49}{space 1}    0.60{col 58}{space 3}0.546{col 66}{space 4}-.5894465{col 79}{space 3} 1.113876
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0788158{col 38}{space 2} .3672425{col 49}{space 1}   -0.21{col 58}{space 3}0.830{col 66}{space 4}-.7993319{col 79}{space 3} .6417004
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0209581{col 38}{space 2} .4259299{col 49}{space 1}   -0.05{col 58}{space 3}0.961{col 66}{space 4}-.8566168{col 79}{space 3} .8147005
{txt}{space 16}college  {c |}{col 26}{res}{space 2}  .542353{col 38}{space 2} .4837546{col 49}{space 1}    1.12{col 58}{space 3}0.262{col 66}{space 4}-.4067555{col 79}{space 3} 1.491462
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0360137{col 38}{space 2} .0407897{col 49}{space 1}   -0.88{col 58}{space 3}0.377{col 66}{space 4}-.1160417{col 79}{space 3} .0440142
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0930159{col 38}{space 2} .2105366{col 49}{space 1}   -0.44{col 58}{space 3}0.659{col 66}{space 4}-.5060808{col 79}{space 3} .3200491
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .2395189{col 38}{space 2} .1134225{col 49}{space 1}    2.11{col 58}{space 3}0.035{col 66}{space 4} .0169882{col 79}{space 3} .4620496
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .1635159{col 38}{space 2} .2335206{col 49}{space 1}    0.70{col 58}{space 3}0.484{col 66}{space 4}-.2946428{col 79}{space 3} .6216747
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0494611{col 38}{space 2} .2674151{col 49}{space 1}    0.18{col 58}{space 3}0.853{col 66}{space 4}-.4751974{col 79}{space 3} .5741197
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}  .244503{col 38}{space 2} .1280242{col 49}{space 1}    1.91{col 58}{space 3}0.056{col 66}{space 4}-.0066758{col 79}{space 3} .4956817
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.2938012{col 38}{space 2} .1092457{col 49}{space 1}   -2.69{col 58}{space 3}0.007{col 66}{space 4}-.5081372{col 79}{space 3}-.0794652
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2162381{col 38}{space 2} .1221971{col 49}{space 1}    1.77{col 58}{space 3}0.077{col 66}{space 4}-.0235081{col 79}{space 3} .4559844
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}   .23381{col 38}{space 2} .1201423{col 49}{space 1}    1.95{col 58}{space 3}0.052{col 66}{space 4}-.0019048{col 79}{space 3} .4695247
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0960023{col 38}{space 2} .1200936{col 49}{space 1}   -0.80{col 58}{space 3}0.424{col 66}{space 4}-.3316215{col 79}{space 3} .1396168
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.2174648{col 38}{space 2} .1213002{col 49}{space 1}   -1.79{col 58}{space 3}0.073{col 66}{space 4}-.4554513{col 79}{space 3} .0205216
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.1350176{col 38}{space 2}  .161071{col 49}{space 1}   -0.84{col 58}{space 3}0.402{col 66}{space 4}-.4510328{col 79}{space 3} .1809977
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.4622898{col 38}{space 2} .1645591{col 49}{space 1}   -2.81{col 58}{space 3}0.005{col 66}{space 4}-.7851487{col 79}{space 3}-.1394309
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.3568384{col 38}{space 2} .1675123{col 49}{space 1}   -2.13{col 58}{space 3}0.033{col 66}{space 4}-.6854912{col 79}{space 3}-.0281856
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.6111208{col 38}{space 2} .1720837{col 49}{space 1}   -3.55{col 58}{space 3}0.000{col 66}{space 4}-.9487426{col 79}{space 3} -.273499
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.7641075{col 38}{space 2} .1737192{col 49}{space 1}   -4.40{col 58}{space 3}0.000{col 66}{space 4}-1.104938{col 79}{space 3}-.4232769
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.7466048{col 38}{space 2} .1767068{col 49}{space 1}   -4.23{col 58}{space 3}0.000{col 66}{space 4}-1.093297{col 79}{space 3}-.3999126
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.867416{col 38}{space 2} .4372208{col 49}{space 1}   13.42{col 58}{space 3}0.000{col 66}{space 4} 5.009605{col 79}{space 3} 6.725227
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9489376
                 {txt}sigma_e {c |} {res} 1.3913956
                     {txt}rho {c |} {res} .66238803{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
.  
. eststo: xtreg  PVDA  ATET i.oplcat   lninc i.employ   i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5961
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1198

{txt}R-sq:  Within  = {res}0.0772                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0339                                        {txt}avg = {res}      5.0
{txt}       Overall = {res}0.0492                                        {txt}max = {res}       12

                                                {txt}F({res}23{txt},{res}1197{txt})         = {res}    11.55
{txt}corr(u_i, Xb)  = {res}0.0398                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,198} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                    PVDA{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.1709169{col 38}{space 2} .1173817{col 49}{space 1}   -1.46{col 58}{space 3}0.146{col 66}{space 4}-.4012136{col 79}{space 3} .0593799
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0273196{col 38}{space 2} .1994611{col 49}{space 1}   -0.14{col 58}{space 3}0.891{col 66}{space 4}-.4186519{col 79}{space 3} .3640127
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1148295{col 38}{space 2} .3564443{col 49}{space 1}    0.32{col 58}{space 3}0.747{col 66}{space 4}-.5844955{col 79}{space 3} .8141546
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0997228{col 38}{space 2} .2959565{col 49}{space 1}    0.34{col 58}{space 3}0.736{col 66}{space 4}-.4809284{col 79}{space 3} .6803741
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .3929208{col 38}{space 2} .3984272{col 49}{space 1}    0.99{col 58}{space 3}0.324{col 66}{space 4}-.3887726{col 79}{space 3} 1.174614
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .4297569{col 38}{space 2} .4224623{col 49}{space 1}    1.02{col 58}{space 3}0.309{col 66}{space 4}-.3990921{col 79}{space 3} 1.258606
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0292102{col 38}{space 2} .0462425{col 49}{space 1}   -0.63{col 58}{space 3}0.528{col 66}{space 4}-.1199356{col 79}{space 3} .0615152
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0038235{col 38}{space 2} .2114857{col 49}{space 1}   -0.02{col 58}{space 3}0.986{col 66}{space 4}-.4187473{col 79}{space 3} .4111004
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0867961{col 38}{space 2} .1276545{col 49}{space 1}    0.68{col 58}{space 3}0.497{col 66}{space 4}-.1636553{col 79}{space 3} .3372475
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .1633879{col 38}{space 2} .2542069{col 49}{space 1}    0.64{col 58}{space 3}0.521{col 66}{space 4}-.3353527{col 79}{space 3} .6621285
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .2688161{col 38}{space 2} .2368922{col 49}{space 1}    1.13{col 58}{space 3}0.257{col 66}{space 4}-.1959541{col 79}{space 3} .7335862
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .2164716{col 38}{space 2} .1344277{col 49}{space 1}    1.61{col 58}{space 3}0.108{col 66}{space 4}-.0472686{col 79}{space 3} .4802117
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.4624242{col 38}{space 2} .0989521{col 49}{space 1}   -4.67{col 58}{space 3}0.000{col 66}{space 4} -.656563{col 79}{space 3}-.2682854
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.1664188{col 38}{space 2} .1144676{col 49}{space 1}   -1.45{col 58}{space 3}0.146{col 66}{space 4}-.3909983{col 79}{space 3} .0581608
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.4008769{col 38}{space 2} .1024884{col 49}{space 1}   -3.91{col 58}{space 3}0.000{col 66}{space 4}-.6019537{col 79}{space 3}   -.1998
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.5400191{col 38}{space 2} .1183061{col 49}{space 1}   -4.56{col 58}{space 3}0.000{col 66}{space 4}-.7721296{col 79}{space 3}-.3079086
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-1.084976{col 38}{space 2} .1130768{col 49}{space 1}   -9.60{col 58}{space 3}0.000{col 66}{space 4}-1.306827{col 79}{space 3}-.8631249
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-1.124745{col 38}{space 2} .1449571{col 49}{space 1}   -7.76{col 58}{space 3}0.000{col 66}{space 4}-1.409143{col 79}{space 3}-.8403463
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-1.204237{col 38}{space 2} .1507863{col 49}{space 1}   -7.99{col 58}{space 3}0.000{col 66}{space 4}-1.500072{col 79}{space 3}-.9084026
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.8217015{col 38}{space 2} .1529784{col 49}{space 1}   -5.37{col 58}{space 3}0.000{col 66}{space 4}-1.121837{col 79}{space 3}-.5215659
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.7315943{col 38}{space 2} .1622811{col 49}{space 1}   -4.51{col 58}{space 3}0.000{col 66}{space 4}-1.049981{col 79}{space 3}-.4132072
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.3877916{col 38}{space 2} .1587668{col 49}{space 1}   -2.44{col 58}{space 3}0.015{col 66}{space 4}-.6992837{col 79}{space 3}-.0762994
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.5329396{col 38}{space 2} .1641563{col 49}{space 1}   -3.25{col 58}{space 3}0.001{col 66}{space 4}-.8550057{col 79}{space 3}-.2108735
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.525642{col 38}{space 2} .4113864{col 49}{space 1}   13.43{col 58}{space 3}0.000{col 66}{space 4} 4.718524{col 79}{space 3} 6.332761
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9591663
                 {txt}sigma_e {c |} {res} 1.3675523
                     {txt}rho {c |} {res} .67238524{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}. 
.  
.   eststo: xtreg  D66  ATET i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5797
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1175

{txt}R-sq:  Within  = {res}0.0782                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0505                                        {txt}avg = {res}      4.9
{txt}       Overall = {res}0.0649                                        {txt}max = {res}       12

                                                {txt}F({res}23{txt},{res}1174{txt})         = {res}     8.24
{txt}corr(u_i, Xb)  = {res}0.0348                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,175} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                     D66{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.1102953{col 38}{space 2} .1284145{col 49}{space 1}   -0.86{col 58}{space 3}0.391{col 66}{space 4}-.3622429{col 79}{space 3} .1416524
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.4057707{col 38}{space 2} .3380824{col 49}{space 1}   -1.20{col 58}{space 3}0.230{col 66}{space 4}-1.069084{col 79}{space 3} .2575424
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.2254944{col 38}{space 2} .4044474{col 49}{space 1}   -0.56{col 58}{space 3}0.577{col 66}{space 4}-1.019015{col 79}{space 3}  .568026
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.2915323{col 38}{space 2} .3043776{col 49}{space 1}   -0.96{col 58}{space 3}0.338{col 66}{space 4}-.8887171{col 79}{space 3} .3056525
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}  .198806{col 38}{space 2} .4313516{col 49}{space 1}    0.46{col 58}{space 3}0.645{col 66}{space 4}   -.6475{col 79}{space 3} 1.045112
{txt}{space 16}college  {c |}{col 26}{res}{space 2}  .673126{col 38}{space 2} .5231589{col 49}{space 1}    1.29{col 58}{space 3}0.198{col 66}{space 4}-.3533047{col 79}{space 3} 1.699557
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0150225{col 38}{space 2} .0372028{col 49}{space 1}    0.40{col 58}{space 3}0.686{col 66}{space 4}-.0579688{col 79}{space 3} .0880138
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0113536{col 38}{space 2} .2443372{col 49}{space 1}   -0.05{col 58}{space 3}0.963{col 66}{space 4}  -.49074{col 79}{space 3} .4680328
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .1096996{col 38}{space 2} .1354551{col 49}{space 1}    0.81{col 58}{space 3}0.418{col 66}{space 4}-.1560615{col 79}{space 3} .3754606
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} -.205868{col 38}{space 2} .2282504{col 49}{space 1}   -0.90{col 58}{space 3}0.367{col 66}{space 4}-.6536923{col 79}{space 3} .2419562
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1518664{col 38}{space 2} .2758978{col 49}{space 1}    0.55{col 58}{space 3}0.582{col 66}{space 4}-.3894415{col 79}{space 3} .6931742
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1025152{col 38}{space 2} .1650762{col 49}{space 1}    0.62{col 58}{space 3}0.535{col 66}{space 4}-.2213621{col 79}{space 3} .4263925
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}  .195365{col 38}{space 2} .1078464{col 49}{space 1}    1.81{col 58}{space 3}0.070{col 66}{space 4}-.0162283{col 79}{space 3} .4069583
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2885456{col 38}{space 2} .1199236{col 49}{space 1}    2.41{col 58}{space 3}0.016{col 66}{space 4} .0532571{col 79}{space 3} .5238341
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .1511443{col 38}{space 2}  .117843{col 49}{space 1}    1.28{col 58}{space 3}0.200{col 66}{space 4}-.0800621{col 79}{space 3} .3823507
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} -.272479{col 38}{space 2} .1235929{col 49}{space 1}   -2.20{col 58}{space 3}0.028{col 66}{space 4}-.5149665{col 79}{space 3}-.0299914
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.4365792{col 38}{space 2} .1221005{col 49}{space 1}   -3.58{col 58}{space 3}0.000{col 66}{space 4}-.6761388{col 79}{space 3}-.1970196
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.3840945{col 38}{space 2} .1605455{col 49}{space 1}   -2.39{col 58}{space 3}0.017{col 66}{space 4}-.6990827{col 79}{space 3}-.0691063
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} -.385878{col 38}{space 2} .1671844{col 49}{space 1}   -2.31{col 58}{space 3}0.021{col 66}{space 4}-.7138915{col 79}{space 3}-.0578645
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.5833238{col 38}{space 2} .1719688{col 49}{space 1}   -3.39{col 58}{space 3}0.001{col 66}{space 4}-.9207243{col 79}{space 3}-.2459232
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.9319351{col 38}{space 2} .1782424{col 49}{space 1}   -5.23{col 58}{space 3}0.000{col 66}{space 4}-1.281644{col 79}{space 3}-.5822258
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.9375931{col 38}{space 2} .1799554{col 49}{space 1}   -5.21{col 58}{space 3}0.000{col 66}{space 4}-1.290663{col 79}{space 3} -.584523
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.6782939{col 38}{space 2} .1807548{col 49}{space 1}   -3.75{col 58}{space 3}0.000{col 66}{space 4}-1.032932{col 79}{space 3}-.3236554
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.264452{col 38}{space 2} .3878199{col 49}{space 1}   13.57{col 58}{space 3}0.000{col 66}{space 4} 4.503555{col 79}{space 3}  6.02535
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9401574
                 {txt}sigma_e {c |} {res} 1.3290154
                     {txt}rho {c |} {res} .68062845{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
.  
.  eststo: xtreg  CDA  ATET i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5924
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1194

{txt}R-sq:  Within  = {res}0.0373                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0123                                        {txt}avg = {res}      5.0
{txt}       Overall = {res}0.0213                                        {txt}max = {res}       12

                                                {txt}F({res}23{txt},{res}1193{txt})         = {res}     7.26
{txt}corr(u_i, Xb)  = {res}0.0111                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,194} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                     CDA{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} -.170759{col 38}{space 2} .1162317{col 49}{space 1}   -1.47{col 58}{space 3}0.142{col 66}{space 4}-.3988002{col 79}{space 3} .0572822
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} -.031396{col 38}{space 2} .2307664{col 49}{space 1}   -0.14{col 58}{space 3}0.892{col 66}{space 4}-.4841491{col 79}{space 3} .4213571
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.2993905{col 38}{space 2} .3825965{col 49}{space 1}   -0.78{col 58}{space 3}0.434{col 66}{space 4}-1.050028{col 79}{space 3} .4512465
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0224901{col 38}{space 2} .2916495{col 49}{space 1}   -0.08{col 58}{space 3}0.939{col 66}{space 4} -.594693{col 79}{space 3} .5497128
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .3455249{col 38}{space 2} .4014801{col 49}{space 1}    0.86{col 58}{space 3}0.390{col 66}{space 4}-.4421607{col 79}{space 3}  1.13321
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0165666{col 38}{space 2}  .514975{col 49}{space 1}   -0.03{col 58}{space 3}0.974{col 66}{space 4}-1.026924{col 79}{space 3} .9937909
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0031033{col 38}{space 2} .0387836{col 49}{space 1}   -0.08{col 58}{space 3}0.936{col 66}{space 4} -.079195{col 79}{space 3} .0729884
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0472306{col 38}{space 2} .2530852{col 49}{space 1}   -0.19{col 58}{space 3}0.852{col 66}{space 4}-.5437721{col 79}{space 3}  .449311
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0410891{col 38}{space 2} .1183669{col 49}{space 1}    0.35{col 58}{space 3}0.729{col 66}{space 4}-.1911413{col 79}{space 3} .2733196
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .2904785{col 38}{space 2} .1966129{col 49}{space 1}    1.48{col 58}{space 3}0.140{col 66}{space 4} -.095267{col 79}{space 3}  .676224
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}  .152332{col 38}{space 2}   .22558{col 49}{space 1}    0.68{col 58}{space 3}0.500{col 66}{space 4}-.2902458{col 79}{space 3} .5949097
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1368401{col 38}{space 2} .1243051{col 49}{space 1}    1.10{col 58}{space 3}0.271{col 66}{space 4}-.1070407{col 79}{space 3}  .380721
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0345215{col 38}{space 2} .0997126{col 49}{space 1}   -0.35{col 58}{space 3}0.729{col 66}{space 4}-.2301531{col 79}{space 3} .1611101
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.1791794{col 38}{space 2} .1103539{col 49}{space 1}   -1.62{col 58}{space 3}0.105{col 66}{space 4}-.3956887{col 79}{space 3}   .03733
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.5946692{col 38}{space 2} .1072813{col 49}{space 1}   -5.54{col 58}{space 3}0.000{col 66}{space 4}-.8051503{col 79}{space 3}-.3841881
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.4295816{col 38}{space 2} .1059896{col 49}{space 1}   -4.05{col 58}{space 3}0.000{col 66}{space 4}-.6375283{col 79}{space 3}-.2216349
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.2689821{col 38}{space 2} .1009127{col 49}{space 1}   -2.67{col 58}{space 3}0.008{col 66}{space 4}-.4669683{col 79}{space 3}-.0709959
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .1391092{col 38}{space 2} .1383123{col 49}{space 1}    1.01{col 58}{space 3}0.315{col 66}{space 4}-.1322533{col 79}{space 3} .4104716
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0164331{col 38}{space 2} .1440567{col 49}{space 1}    0.11{col 58}{space 3}0.909{col 66}{space 4}-.2661995{col 79}{space 3} .2990658
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.4135351{col 38}{space 2} .1447306{col 49}{space 1}   -2.86{col 58}{space 3}0.004{col 66}{space 4}-.6974899{col 79}{space 3}-.1295802
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} -.585913{col 38}{space 2} .1487989{col 49}{space 1}   -3.94{col 58}{space 3}0.000{col 66}{space 4}-.8778497{col 79}{space 3}-.2939764
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.4088179{col 38}{space 2} .1555856{col 49}{space 1}   -2.63{col 58}{space 3}0.009{col 66}{space 4}-.7140697{col 79}{space 3}-.1035661
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0230206{col 38}{space 2} .1565791{col 49}{space 1}   -0.15{col 58}{space 3}0.883{col 66}{space 4}-.3302218{col 79}{space 3} .2841805
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 4.644475{col 38}{space 2} .3668555{col 49}{space 1}   12.66{col 58}{space 3}0.000{col 66}{space 4} 3.924721{col 79}{space 3} 5.364229
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9194772
                 {txt}sigma_e {c |} {res} 1.3033461
                     {txt}rho {c |} {res}  .6844365{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. 
. eststo: xtreg  VVD  ATET i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     5919
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1197

{txt}R-sq:  Within  = {res}0.0767                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0192                                        {txt}avg = {res}      4.9
{txt}       Overall = {res}0.0336                                        {txt}max = {res}       12

                                                {txt}F({res}23{txt},{res}1196{txt})         = {res}    11.71
{txt}corr(u_i, Xb)  = {res}-0.0010                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,197} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                     VVD{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.3012072{col 38}{space 2} .1229721{col 49}{space 1}   -2.45{col 58}{space 3}0.014{col 66}{space 4}-.5424722{col 79}{space 3}-.0599422
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0011784{col 38}{space 2} .2444884{col 49}{space 1}   -0.00{col 58}{space 3}0.996{col 66}{space 4}-.4808523{col 79}{space 3} .4784956
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .3357309{col 38}{space 2} .3349332{col 49}{space 1}    1.00{col 58}{space 3}0.316{col 66}{space 4} -.321391{col 79}{space 3} .9928529
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0234728{col 38}{space 2} .3127107{col 49}{space 1}    0.08{col 58}{space 3}0.940{col 66}{space 4}-.5900497{col 79}{space 3} .6369953
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .4633292{col 38}{space 2} .4006309{col 49}{space 1}    1.16{col 58}{space 3}0.248{col 66}{space 4}-.3226884{col 79}{space 3} 1.249347
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .3271626{col 38}{space 2} .4765139{col 49}{space 1}    0.69{col 58}{space 3}0.492{col 66}{space 4}-.6077336{col 79}{space 3} 1.262059
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0378421{col 38}{space 2} .0368192{col 49}{space 1}   -1.03{col 58}{space 3}0.304{col 66}{space 4}-.1100796{col 79}{space 3} .0343953
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .1697092{col 38}{space 2} .2043263{col 49}{space 1}    0.83{col 58}{space 3}0.406{col 66}{space 4}-.2311687{col 79}{space 3}  .570587
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .1281889{col 38}{space 2} .1445252{col 49}{space 1}    0.89{col 58}{space 3}0.375{col 66}{space 4}-.1553623{col 79}{space 3} .4117402
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .1731754{col 38}{space 2} .2414124{col 49}{space 1}    0.72{col 58}{space 3}0.473{col 66}{space 4}-.3004636{col 79}{space 3} .6468144
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1601126{col 38}{space 2} .2631562{col 49}{space 1}    0.61{col 58}{space 3}0.543{col 66}{space 4}-.3561866{col 79}{space 3} .6764117
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0311237{col 38}{space 2} .1420153{col 49}{space 1}   -0.22{col 58}{space 3}0.827{col 66}{space 4}-.3097505{col 79}{space 3} .2475031
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0619615{col 38}{space 2} .1061216{col 49}{space 1}    0.58{col 58}{space 3}0.559{col 66}{space 4}-.1462439{col 79}{space 3} .2701668
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .6280557{col 38}{space 2} .1233049{col 49}{space 1}    5.09{col 58}{space 3}0.000{col 66}{space 4} .3861376{col 79}{space 3} .8699738
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .1263666{col 38}{space 2} .1154973{col 49}{space 1}    1.09{col 58}{space 3}0.274{col 66}{space 4}-.1002333{col 79}{space 3} .3529665
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.3764662{col 38}{space 2} .1179321{col 49}{space 1}   -3.19{col 58}{space 3}0.001{col 66}{space 4}-.6078431{col 79}{space 3}-.1450893
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.3997337{col 38}{space 2} .1126071{col 49}{space 1}   -3.55{col 58}{space 3}0.000{col 66}{space 4}-.6206632{col 79}{space 3}-.1788042
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.2613707{col 38}{space 2} .1536388{col 49}{space 1}   -1.70{col 58}{space 3}0.089{col 66}{space 4}-.5628023{col 79}{space 3}  .040061
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0710542{col 38}{space 2} .1585916{col 49}{space 1}   -0.45{col 58}{space 3}0.654{col 66}{space 4}-.3822028{col 79}{space 3} .2400945
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.3039835{col 38}{space 2} .1613171{col 49}{space 1}   -1.88{col 58}{space 3}0.060{col 66}{space 4}-.6204796{col 79}{space 3} .0125126
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.5709592{col 38}{space 2} .1642474{col 49}{space 1}   -3.48{col 58}{space 3}0.001{col 66}{space 4}-.8932043{col 79}{space 3}-.2487141
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.3157861{col 38}{space 2}  .166434{col 49}{space 1}   -1.90{col 58}{space 3}0.058{col 66}{space 4}-.6423211{col 79}{space 3}  .010749
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .4874691{col 38}{space 2} .1710599{col 49}{space 1}    2.85{col 58}{space 3}0.004{col 66}{space 4} .1518582{col 79}{space 3}   .82308
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 4.404357{col 38}{space 2} .3480966{col 49}{space 1}   12.65{col 58}{space 3}0.000{col 66}{space 4} 3.721409{col 79}{space 3} 5.087305
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.1164712
                 {txt}sigma_e {c |} {res} 1.3814838
                     {txt}rho {c |} {res} .70123465{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
.   
. esttab using "regressionparties.tex", replace f   ///
>  b(2) se(2) ///
>  keep(ATET) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for parties after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Green Left" "SP" "PvdA" "D66" "CDA" "VVD" :, pattern(1 1 1 1 1 1 ) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regressionparties.tex"'})

{com}.   
.     
. esttab using "regressionparties2.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for parties after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Green Left" "SP" "PvdA" "D66" "CDA" "VVD" :, pattern(1 1 1 1 1 1 ) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regressionparties2.tex"'})

{com}.  
.   
.   
.  est clear
{res}{txt}
{com}.  
.  
.  * Time varying coefficient
.  
.  
.  *Regressions on all parties
.  
.    *Using estout package for LatexTables                  
. est clear
{txt}
{com}.   xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  GL  ATET i.oplcat   lninc i.employ   i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,838
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,183

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0688{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0399{col 63}{txt}avg{col 67}={col 69}{res}       4.9
{txt}     Overall = {res}0.0563{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}22{txt},{res}1182{txt}){col 67}={col 70}{res}    13.07
{txt}corr(u_i, Xb) = {res}0.0317{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,183} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      GL{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.1427646{col 38}{space 2} .1042909{col 49}{space 1}   -1.37{col 58}{space 3}0.171{col 66}{space 4}-.3473806{col 79}{space 3} .0618514
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.6807191{col 38}{space 2} .3985236{col 49}{space 1}   -1.71{col 58}{space 3}0.088{col 66}{space 4}-1.462612{col 79}{space 3} .1011735
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0047595{col 38}{space 2} .4450446{col 49}{space 1}   -0.01{col 58}{space 3}0.991{col 66}{space 4}-.8779251{col 79}{space 3} .8684061
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.2303857{col 38}{space 2} .4234844{col 49}{space 1}   -0.54{col 58}{space 3}0.587{col 66}{space 4}-1.061251{col 79}{space 3} .6004792
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} -.296485{col 38}{space 2} .4898623{col 49}{space 1}   -0.61{col 58}{space 3}0.545{col 66}{space 4}-1.257582{col 79}{space 3} .6646117
{txt}{space 16}college  {c |}{col 26}{res}{space 2}  .542694{col 38}{space 2} .5294389{col 49}{space 1}    1.03{col 58}{space 3}0.306{col 66}{space 4}-.4960509{col 79}{space 3} 1.581439
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0465137{col 38}{space 2} .0410695{col 49}{space 1}    1.13{col 58}{space 3}0.258{col 66}{space 4}-.0340635{col 79}{space 3} .1270908
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0409159{col 38}{space 2} .1946283{col 49}{space 1}    0.21{col 58}{space 3}0.834{col 66}{space 4}-.3409395{col 79}{space 3} .4227713
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0564055{col 38}{space 2} .1246644{col 49}{space 1}    0.45{col 58}{space 3}0.651{col 66}{space 4}-.1881827{col 79}{space 3} .3009937
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.1734766{col 38}{space 2} .2176715{col 49}{space 1}   -0.80{col 58}{space 3}0.426{col 66}{space 4}-.6005422{col 79}{space 3} .2535891
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0419945{col 38}{space 2} .2143937{col 49}{space 1}    0.20{col 58}{space 3}0.845{col 66}{space 4}-.3786402{col 79}{space 3} .4626292
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0976907{col 38}{space 2} .1489372{col 49}{space 1}    0.66{col 58}{space 3}0.512{col 66}{space 4}  -.19452{col 79}{space 3} .3899014
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.1461136{col 38}{space 2} .0880409{col 49}{space 1}   -1.66{col 58}{space 3}0.097{col 66}{space 4}-.3188475{col 79}{space 3} .0266203
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .3432639{col 38}{space 2} .1069752{col 49}{space 1}    3.21{col 58}{space 3}0.001{col 66}{space 4} .1333815{col 79}{space 3} .5531464
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.9270132{col 38}{space 2} .1126402{col 49}{space 1}   -8.23{col 58}{space 3}0.000{col 66}{space 4} -1.14801{col 79}{space 3}-.7060162
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.7395276{col 38}{space 2} .1120435{col 49}{space 1}   -6.60{col 58}{space 3}0.000{col 66}{space 4} -.959354{col 79}{space 3}-.5197012
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} -.348851{col 38}{space 2} .1411162{col 49}{space 1}   -2.47{col 58}{space 3}0.014{col 66}{space 4}-.6257171{col 79}{space 3}-.0719848
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.2682062{col 38}{space 2} .1424226{col 49}{space 1}   -1.88{col 58}{space 3}0.060{col 66}{space 4}-.5476356{col 79}{space 3} .0112232
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.1541011{col 38}{space 2} .1461631{col 49}{space 1}   -1.05{col 58}{space 3}0.292{col 66}{space 4}-.4408691{col 79}{space 3} .1326669
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.3389986{col 38}{space 2}  .153913{col 49}{space 1}   -2.20{col 58}{space 3}0.028{col 66}{space 4}-.6409716{col 79}{space 3}-.0370255
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.6105686{col 38}{space 2} .1526003{col 49}{space 1}   -4.00{col 58}{space 3}0.000{col 66}{space 4}-.9099662{col 79}{space 3}-.3111709
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.6596173{col 38}{space 2} .1574585{col 49}{space 1}   -4.19{col 58}{space 3}0.000{col 66}{space 4}-.9685467{col 79}{space 3} -.350688
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.420606{col 38}{space 2} .4469591{col 49}{space 1}   12.13{col 58}{space 3}0.000{col 66}{space 4} 4.543684{col 79}{space 3} 6.297527
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.0348139
                 {txt}sigma_e {c |} {res}   1.36004
                     {txt}rho {c |} {res} .69120962{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.   eststo: xtreg  SP  ATET i.oplcat   lninc i.employ  i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,376
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,196

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0506{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0019{col 63}{txt}avg{col 67}={col 69}{res}       5.3
{txt}     Overall = {res}0.0191{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1195{txt}){col 67}={col 70}{res}     8.57
{txt}corr(u_i, Xb) = {res}-0.0456{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,196} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      SP{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0306772{col 38}{space 2}  .094889{col 49}{space 1}   -0.32{col 58}{space 3}0.747{col 66}{space 4}-.2168447{col 79}{space 3} .1554904
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.2351641{col 38}{space 2} .3490441{col 49}{space 1}   -0.67{col 58}{space 3}0.501{col 66}{space 4}-.9199715{col 79}{space 3} .4496433
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}  .310602{col 38}{space 2} .4152508{col 49}{space 1}    0.75{col 58}{space 3}0.455{col 66}{space 4}-.5040998{col 79}{space 3} 1.125304
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0842262{col 38}{space 2} .3690465{col 49}{space 1}    0.23{col 58}{space 3}0.820{col 66}{space 4}-.6398249{col 79}{space 3} .8082774
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0722336{col 38}{space 2} .4249277{col 49}{space 1}   -0.17{col 58}{space 3}0.865{col 66}{space 4}-.9059209{col 79}{space 3} .7614538
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .4929989{col 38}{space 2} .4667754{col 49}{space 1}    1.06{col 58}{space 3}0.291{col 66}{space 4}-.4227915{col 79}{space 3} 1.408789
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0293063{col 38}{space 2} .0382523{col 49}{space 1}   -0.77{col 58}{space 3}0.444{col 66}{space 4}-.1043554{col 79}{space 3} .0457427
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.1240998{col 38}{space 2} .1924588{col 49}{space 1}   -0.64{col 58}{space 3}0.519{col 66}{space 4}-.5016945{col 79}{space 3} .2534949
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .2079404{col 38}{space 2} .1086932{col 49}{space 1}    1.91{col 58}{space 3}0.056{col 66}{space 4}-.0053103{col 79}{space 3} .4211912
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .1761144{col 38}{space 2} .1908582{col 49}{space 1}    0.92{col 58}{space 3}0.356{col 66}{space 4}-.1983401{col 79}{space 3} .5505689
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1094791{col 38}{space 2} .2518034{col 49}{space 1}    0.43{col 58}{space 3}0.664{col 66}{space 4}-.3845468{col 79}{space 3} .6035051
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}   .18912{col 38}{space 2} .1296533{col 49}{space 1}    1.46{col 58}{space 3}0.145{col 66}{space 4}-.0652534{col 79}{space 3} .4434933
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.3137903{col 38}{space 2} .0942358{col 49}{space 1}   -3.33{col 58}{space 3}0.001{col 66}{space 4}-.4986764{col 79}{space 3}-.1289041
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2405045{col 38}{space 2} .1080236{col 49}{space 1}    2.23{col 58}{space 3}0.026{col 66}{space 4} .0285674{col 79}{space 3} .4524415
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .2337678{col 38}{space 2} .1052507{col 49}{space 1}    2.22{col 58}{space 3}0.027{col 66}{space 4}  .027271{col 79}{space 3} .4402645
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.1063008{col 38}{space 2} .1069741{col 49}{space 1}   -0.99{col 58}{space 3}0.321{col 66}{space 4}-.3161787{col 79}{space 3} .1035771
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.2138087{col 38}{space 2} .1079301{col 49}{space 1}   -1.98{col 58}{space 3}0.048{col 66}{space 4}-.4255622{col 79}{space 3}-.0020552
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.1513285{col 38}{space 2} .1340674{col 49}{space 1}   -1.13{col 58}{space 3}0.259{col 66}{space 4}-.4143622{col 79}{space 3} .1117052
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.4943277{col 38}{space 2}  .137926{col 49}{space 1}   -3.58{col 58}{space 3}0.000{col 66}{space 4}-.7649319{col 79}{space 3}-.2237236
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.3500347{col 38}{space 2} .1417701{col 49}{space 1}   -2.47{col 58}{space 3}0.014{col 66}{space 4}-.6281808{col 79}{space 3}-.0718887
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} -.606611{col 38}{space 2} .1424875{col 49}{space 1}   -4.26{col 58}{space 3}0.000{col 66}{space 4}-.8861646{col 79}{space 3}-.3270574
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} -.796123{col 38}{space 2} .1443282{col 49}{space 1}   -5.52{col 58}{space 3}0.000{col 66}{space 4}-1.079288{col 79}{space 3}-.5129582
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.7353154{col 38}{space 2}  .150282{col 49}{space 1}   -4.89{col 58}{space 3}0.000{col 66}{space 4}-1.030161{col 79}{space 3}-.4404695
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.820554{col 38}{space 2} .4158006{col 49}{space 1}   14.00{col 58}{space 3}0.000{col 66}{space 4} 5.004774{col 79}{space 3} 6.636335
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9397348
                 {txt}sigma_e {c |} {res} 1.3867573
                     {txt}rho {c |} {res} .66176424{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
. eststo: xtreg  PVDA  ATET i.oplcat   lninc i.employ   i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,534
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,204

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0763{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0482{col 63}{txt}avg{col 67}={col 69}{res}       5.4
{txt}     Overall = {res}0.0581{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1203{txt}){col 67}={col 70}{res}    12.40
{txt}corr(u_i, Xb) = {res}0.0637{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,204} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                    PVDA{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} -.099336{col 38}{space 2} .0944802{col 49}{space 1}   -1.05{col 58}{space 3}0.293{col 66}{space 4}-.2847002{col 79}{space 3} .0860283
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0498696{col 38}{space 2} .2040495{col 49}{space 1}   -0.24{col 58}{space 3}0.807{col 66}{space 4} -.450202{col 79}{space 3} .3504628
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .2774216{col 38}{space 2} .3520607{col 49}{space 1}    0.79{col 58}{space 3}0.431{col 66}{space 4}-.4132996{col 79}{space 3} .9681429
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .1522592{col 38}{space 2} .2942837{col 49}{space 1}    0.52{col 58}{space 3}0.605{col 66}{space 4}-.4251071{col 79}{space 3} .7296255
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .3269847{col 38}{space 2} .3910189{col 49}{space 1}    0.84{col 58}{space 3}0.403{col 66}{space 4}  -.44017{col 79}{space 3} 1.094139
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .5389794{col 38}{space 2} .3998509{col 49}{space 1}    1.35{col 58}{space 3}0.178{col 66}{space 4}-.2455032{col 79}{space 3} 1.323462
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0416658{col 38}{space 2} .0435622{col 49}{space 1}   -0.96{col 58}{space 3}0.339{col 66}{space 4}-.1271322{col 79}{space 3} .0438006
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.2137365{col 38}{space 2} .1910812{col 49}{space 1}   -1.12{col 58}{space 3}0.264{col 66}{space 4} -.588626{col 79}{space 3} .1611531
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} -.003719{col 38}{space 2} .1206183{col 49}{space 1}   -0.03{col 58}{space 3}0.975{col 66}{space 4}-.2403646{col 79}{space 3} .2329266
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .1195556{col 38}{space 2} .2170326{col 49}{space 1}    0.55{col 58}{space 3}0.582{col 66}{space 4}-.3062488{col 79}{space 3}   .54536
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1687361{col 38}{space 2} .2116449{col 49}{space 1}    0.80{col 58}{space 3}0.425{col 66}{space 4}-.2464981{col 79}{space 3} .5839702
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1547798{col 38}{space 2} .1306859{col 49}{space 1}    1.18{col 58}{space 3}0.237{col 66}{space 4}-.1016178{col 79}{space 3} .4111774
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.4924831{col 38}{space 2} .0908927{col 49}{space 1}   -5.42{col 58}{space 3}0.000{col 66}{space 4}-.6708088{col 79}{space 3}-.3141573
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.1558367{col 38}{space 2} .1036854{col 49}{space 1}   -1.50{col 58}{space 3}0.133{col 66}{space 4}-.3592611{col 79}{space 3} .0475877
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.3939731{col 38}{space 2} .0946535{col 49}{space 1}   -4.16{col 58}{space 3}0.000{col 66}{space 4}-.5796774{col 79}{space 3}-.2082687
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.5090841{col 38}{space 2} .1087228{col 49}{space 1}   -4.68{col 58}{space 3}0.000{col 66}{space 4}-.7223914{col 79}{space 3}-.2957767
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-1.061232{col 38}{space 2} .1040138{col 49}{space 1}  -10.20{col 58}{space 3}0.000{col 66}{space 4}-1.265301{col 79}{space 3}-.8571635
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-1.154191{col 38}{space 2} .1278035{col 49}{space 1}   -9.03{col 58}{space 3}0.000{col 66}{space 4}-1.404933{col 79}{space 3}-.9034482
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-1.238421{col 38}{space 2} .1338441{col 49}{space 1}   -9.25{col 58}{space 3}0.000{col 66}{space 4}-1.501015{col 79}{space 3}-.9758269
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.8399939{col 38}{space 2} .1364671{col 49}{space 1}   -6.16{col 58}{space 3}0.000{col 66}{space 4}-1.107734{col 79}{space 3}-.5722539
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.7501434{col 38}{space 2} .1408607{col 49}{space 1}   -5.33{col 58}{space 3}0.000{col 66}{space 4}-1.026503{col 79}{space 3}-.4737835
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.4465847{col 38}{space 2} .1368695{col 49}{space 1}   -3.26{col 58}{space 3}0.001{col 66}{space 4}-.7151143{col 79}{space 3}-.1780552
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.5462714{col 38}{space 2} .1458738{col 49}{space 1}   -3.74{col 58}{space 3}0.000{col 66}{space 4}-.8324668{col 79}{space 3} -.260076
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.661114{col 38}{space 2} .3959792{col 49}{space 1}   14.30{col 58}{space 3}0.000{col 66}{space 4} 4.884228{col 79}{space 3} 6.438001
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9232017
                 {txt}sigma_e {c |} {res} 1.3580032
                     {txt}rho {c |} {res} .66728965{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.  
.   eststo: xtreg  D66  ATET i.oplcat   lninc i.employ  i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,350
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,182

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0791{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0219{col 63}{txt}avg{col 67}={col 69}{res}       5.4
{txt}     Overall = {res}0.0403{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1181{txt}){col 67}={col 70}{res}     9.51
{txt}corr(u_i, Xb) = {res}-0.0125{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,182} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                     D66{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.1412429{col 38}{space 2} .0990077{col 49}{space 1}   -1.43{col 58}{space 3}0.154{col 66}{space 4}-.3354935{col 79}{space 3} .0530077
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.4660525{col 38}{space 2} .3332882{col 49}{space 1}   -1.40{col 58}{space 3}0.162{col 66}{space 4}-1.119955{col 79}{space 3} .1878505
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.2829363{col 38}{space 2} .3982272{col 49}{space 1}   -0.71{col 58}{space 3}0.478{col 66}{space 4}-1.064248{col 79}{space 3} .4983755
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.1371718{col 38}{space 2} .3119703{col 49}{space 1}   -0.44{col 58}{space 3}0.660{col 66}{space 4}-.7492496{col 79}{space 3} .4749059
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.2152823{col 38}{space 2} .4438059{col 49}{space 1}   -0.49{col 58}{space 3}0.628{col 66}{space 4}-1.086018{col 79}{space 3} .6554536
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .4762062{col 38}{space 2}  .488083{col 49}{space 1}    0.98{col 58}{space 3}0.329{col 66}{space 4}-.4814003{col 79}{space 3} 1.433813
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0399532{col 38}{space 2}  .036013{col 49}{space 1}    1.11{col 58}{space 3}0.267{col 66}{space 4}-.0307034{col 79}{space 3} .1106098
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0386109{col 38}{space 2} .2122521{col 49}{space 1}   -0.18{col 58}{space 3}0.856{col 66}{space 4}-.4550441{col 79}{space 3} .3778224
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0922598{col 38}{space 2} .1314502{col 49}{space 1}    0.70{col 58}{space 3}0.483{col 66}{space 4}-.1656422{col 79}{space 3} .3501617
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.3030068{col 38}{space 2} .2084124{col 49}{space 1}   -1.45{col 58}{space 3}0.146{col 66}{space 4}-.7119066{col 79}{space 3} .1058931
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0396761{col 38}{space 2} .2474416{col 49}{space 1}    0.16{col 58}{space 3}0.873{col 66}{space 4} -.445798{col 79}{space 3} .5251502
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}  .022392{col 38}{space 2} .1557501{col 49}{space 1}    0.14{col 58}{space 3}0.886{col 66}{space 4}-.2831858{col 79}{space 3} .3279698
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}  .148658{col 38}{space 2} .0954034{col 49}{space 1}    1.56{col 58}{space 3}0.119{col 66}{space 4} -.038521{col 79}{space 3}  .335837
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .3336784{col 38}{space 2} .1057761{col 49}{space 1}    3.15{col 58}{space 3}0.002{col 66}{space 4} .1261484{col 79}{space 3} .5412083
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .2024267{col 38}{space 2} .1029199{col 49}{space 1}    1.97{col 58}{space 3}0.049{col 66}{space 4} .0005004{col 79}{space 3}  .404353
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} -.224411{col 38}{space 2} .1102705{col 49}{space 1}   -2.04{col 58}{space 3}0.042{col 66}{space 4}-.4407589{col 79}{space 3}-.0080631
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.3864325{col 38}{space 2} .1100414{col 49}{space 1}   -3.51{col 58}{space 3}0.000{col 66}{space 4}-.6023309{col 79}{space 3}-.1705341
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.3149477{col 38}{space 2} .1406958{col 49}{space 1}   -2.24{col 58}{space 3}0.025{col 66}{space 4}-.5909894{col 79}{space 3} -.038906
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.3398079{col 38}{space 2} .1440773{col 49}{space 1}   -2.36{col 58}{space 3}0.019{col 66}{space 4} -.622484{col 79}{space 3}-.0571318
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} -.493409{col 38}{space 2} .1515065{col 49}{space 1}   -3.26{col 58}{space 3}0.001{col 66}{space 4}-.7906609{col 79}{space 3}-.1961571
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.8606995{col 38}{space 2} .1522866{col 49}{space 1}   -5.65{col 58}{space 3}0.000{col 66}{space 4}-1.159482{col 79}{space 3}-.5619171
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.8598622{col 38}{space 2}  .155749{col 49}{space 1}   -5.52{col 58}{space 3}0.000{col 66}{space 4}-1.165438{col 79}{space 3}-.5542866
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} -.569458{col 38}{space 2} .1573993{col 49}{space 1}   -3.62{col 58}{space 3}0.000{col 66}{space 4}-.8782714{col 79}{space 3}-.2606446
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.190442{col 38}{space 2} .3722719{col 49}{space 1}   13.94{col 58}{space 3}0.000{col 66}{space 4} 4.460054{col 79}{space 3}  5.92083
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9534946
                 {txt}sigma_e {c |} {res} 1.3247698
                     {txt}rho {c |} {res} .68498192{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
.  eststo: xtreg  CDA  ATET i.oplcat   lninc i.employ  i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,498
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,201

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0387{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0108{col 63}{txt}avg{col 67}={col 69}{res}       5.4
{txt}     Overall = {res}0.0198{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1200{txt}){col 67}={col 70}{res}     8.75
{txt}corr(u_i, Xb) = {res}0.0176{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,201} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                     CDA{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} -.203415{col 38}{space 2} .0917553{col 49}{space 1}   -2.22{col 58}{space 3}0.027{col 66}{space 4}-.3834337{col 79}{space 3}-.0233964
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0484354{col 38}{space 2} .2302864{col 49}{space 1}   -0.21{col 58}{space 3}0.833{col 66}{space 4}-.5002442{col 79}{space 3} .4033733
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.2297026{col 38}{space 2} .3579465{col 49}{space 1}   -0.64{col 58}{space 3}0.521{col 66}{space 4}-.9319731{col 79}{space 3}  .472568
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0154339{col 38}{space 2} .2836791{col 49}{space 1}    0.05{col 58}{space 3}0.957{col 66}{space 4}-.5411282{col 79}{space 3}  .571996
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .1580532{col 38}{space 2}  .378452{col 49}{space 1}    0.42{col 58}{space 3}0.676{col 66}{space 4}-.5844479{col 79}{space 3} .9005544
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0976664{col 38}{space 2} .4687293{col 49}{space 1}   -0.21{col 58}{space 3}0.835{col 66}{space 4}-1.017286{col 79}{space 3} .8219536
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0106399{col 38}{space 2} .0363222{col 49}{space 1}    0.29{col 58}{space 3}0.770{col 66}{space 4}-.0606222{col 79}{space 3} .0819021
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.1533935{col 38}{space 2} .2236837{col 49}{space 1}   -0.69{col 58}{space 3}0.493{col 66}{space 4}-.5922482{col 79}{space 3} .2854612
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0316249{col 38}{space 2} .1176024{col 49}{space 1}   -0.27{col 58}{space 3}0.788{col 66}{space 4} -.262354{col 79}{space 3} .1991043
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .3275437{col 38}{space 2} .1683487{col 49}{space 1}    1.95{col 58}{space 3}0.052{col 66}{space 4}-.0027469{col 79}{space 3} .6578342
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1400678{col 38}{space 2} .2105277{col 49}{space 1}    0.67{col 58}{space 3}0.506{col 66}{space 4}-.2729756{col 79}{space 3} .5531111
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0689296{col 38}{space 2} .1332303{col 49}{space 1}    0.52{col 58}{space 3}0.605{col 66}{space 4}-.1924607{col 79}{space 3} .3303199
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.1256436{col 38}{space 2} .0889851{col 49}{space 1}   -1.41{col 58}{space 3}0.158{col 66}{space 4}-.3002272{col 79}{space 3} .0489401
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.2135369{col 38}{space 2} .1021929{col 49}{space 1}   -2.09{col 58}{space 3}0.037{col 66}{space 4}-.4140334{col 79}{space 3}-.0130403
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.6195734{col 38}{space 2} .0993776{col 49}{space 1}   -6.23{col 58}{space 3}0.000{col 66}{space 4}-.8145466{col 79}{space 3}-.4246001
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.4792202{col 38}{space 2} .0990294{col 49}{space 1}   -4.84{col 58}{space 3}0.000{col 66}{space 4}-.6735102{col 79}{space 3}-.2849303
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} -.317987{col 38}{space 2}  .095791{col 49}{space 1}   -3.32{col 58}{space 3}0.001{col 66}{space 4}-.5059235{col 79}{space 3}-.1300506
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  .135899{col 38}{space 2} .1227022{col 49}{space 1}    1.11{col 58}{space 3}0.268{col 66}{space 4}-.1048356{col 79}{space 3} .3766336
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0067674{col 38}{space 2} .1287125{col 49}{space 1}   -0.05{col 58}{space 3}0.958{col 66}{space 4}-.2592939{col 79}{space 3} .2457591
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.4354454{col 38}{space 2} .1316029{col 49}{space 1}   -3.31{col 58}{space 3}0.001{col 66}{space 4}-.6936429{col 79}{space 3}-.1772479
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} -.597726{col 38}{space 2} .1310259{col 49}{space 1}   -4.56{col 58}{space 3}0.000{col 66}{space 4}-.8547914{col 79}{space 3}-.3406607
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.4306576{col 38}{space 2} .1384803{col 49}{space 1}   -3.11{col 58}{space 3}0.002{col 66}{space 4}-.7023479{col 79}{space 3}-.1589672
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0173828{col 38}{space 2} .1404177{col 49}{space 1}   -0.12{col 58}{space 3}0.901{col 66}{space 4}-.2928743{col 79}{space 3} .2581088
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 4.671836{col 38}{space 2}  .355891{col 49}{space 1}   13.13{col 58}{space 3}0.000{col 66}{space 4} 3.973598{col 79}{space 3} 5.370074
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9062279
                 {txt}sigma_e {c |} {res} 1.3114568
                     {txt}rho {c |} {res} .67873744{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
. 
. eststo: xtreg  VVD  ATET i.oplcat   lninc i.employ  i.year if include2==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,487
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,206

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0787{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0170{col 63}{txt}avg{col 67}={col 69}{res}       5.4
{txt}     Overall = {res}0.0329{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1205{txt}){col 67}={col 70}{res}    13.59
{txt}corr(u_i, Xb) = {res}0.0023{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,206} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                     VVD{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.2139301{col 38}{space 2} .0964458{col 49}{space 1}   -2.22{col 58}{space 3}0.027{col 66}{space 4}-.4031504{col 79}{space 3}-.0247099
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0854474{col 38}{space 2} .2458575{col 49}{space 1}   -0.35{col 58}{space 3}0.728{col 66}{space 4}-.5678038{col 79}{space 3}  .396909
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .2151151{col 38}{space 2} .3435166{col 49}{space 1}    0.63{col 58}{space 3}0.531{col 66}{space 4} -.458842{col 79}{space 3} .8890721
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} -.039047{col 38}{space 2} .3109559{col 49}{space 1}   -0.13{col 58}{space 3}0.900{col 66}{space 4}-.6491221{col 79}{space 3} .5710281
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .2584849{col 38}{space 2} .3919592{col 49}{space 1}    0.66{col 58}{space 3}0.510{col 66}{space 4}-.5105135{col 79}{space 3} 1.027483
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .2106259{col 38}{space 2} .4472134{col 49}{space 1}    0.47{col 58}{space 3}0.638{col 66}{space 4}-.6667775{col 79}{space 3} 1.088029
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0307739{col 38}{space 2} .0355391{col 49}{space 1}   -0.87{col 58}{space 3}0.387{col 66}{space 4}-.1004993{col 79}{space 3} .0389516
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .2006321{col 38}{space 2} .1922502{col 49}{space 1}    1.04{col 58}{space 3}0.297{col 66}{space 4}-.1765503{col 79}{space 3} .5778145
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0564233{col 38}{space 2} .1357196{col 49}{space 1}    0.42{col 58}{space 3}0.678{col 66}{space 4}-.2098498{col 79}{space 3} .3226963
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0983253{col 38}{space 2} .2108963{col 49}{space 1}    0.47{col 58}{space 3}0.641{col 66}{space 4}-.3154396{col 79}{space 3} .5120901
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1154709{col 38}{space 2} .2357631{col 49}{space 1}    0.49{col 58}{space 3}0.624{col 66}{space 4}-.3470809{col 79}{space 3} .5780227
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}  -.11446{col 38}{space 2} .1374565{col 49}{space 1}   -0.83{col 58}{space 3}0.405{col 66}{space 4}-.3841406{col 79}{space 3} .1552206
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0822633{col 38}{space 2} .0950443{col 49}{space 1}   -0.87{col 58}{space 3}0.387{col 66}{space 4} -.268734{col 79}{space 3} .1042075
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5124127{col 38}{space 2} .1114926{col 49}{space 1}    4.60{col 58}{space 3}0.000{col 66}{space 4} .2936714{col 79}{space 3} .7311539
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0396102{col 38}{space 2} .1039926{col 49}{space 1}    0.38{col 58}{space 3}0.703{col 66}{space 4}-.1644166{col 79}{space 3}  .243637
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.4706414{col 38}{space 2} .1081887{col 49}{space 1}   -4.35{col 58}{space 3}0.000{col 66}{space 4}-.6829005{col 79}{space 3}-.2583823
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.5046084{col 38}{space 2} .1029402{col 49}{space 1}   -4.90{col 58}{space 3}0.000{col 66}{space 4}-.7065704{col 79}{space 3}-.3026465
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.4348917{col 38}{space 2} .1319031{col 49}{space 1}   -3.30{col 58}{space 3}0.001{col 66}{space 4} -.693677{col 79}{space 3}-.1761064
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.2318414{col 38}{space 2} .1386818{col 49}{space 1}   -1.67{col 58}{space 3}0.095{col 66}{space 4}-.5039261{col 79}{space 3} .0402432
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.4412017{col 38}{space 2} .1411889{col 49}{space 1}   -3.12{col 58}{space 3}0.002{col 66}{space 4}-.7182052{col 79}{space 3}-.1641982
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.7458526{col 38}{space 2} .1421972{col 49}{space 1}   -5.25{col 58}{space 3}0.000{col 66}{space 4}-1.024834{col 79}{space 3} -.466871
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.4608289{col 38}{space 2}  .143723{col 49}{space 1}   -3.21{col 58}{space 3}0.001{col 66}{space 4}-.7428041{col 79}{space 3}-.1788537
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .3297389{col 38}{space 2} .1507255{col 49}{space 1}    2.19{col 58}{space 3}0.029{col 66}{space 4} .0340253{col 79}{space 3} .6254525
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 4.607108{col 38}{space 2} .3451017{col 49}{space 1}   13.35{col 58}{space 3}0.000{col 66}{space 4} 3.930041{col 79}{space 3} 5.284175
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.0973275
                 {txt}sigma_e {c |} {res} 1.3847989
                     {txt}rho {c |} {res} .69640101{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.   
. esttab using "regressionpartiebs.tex", replace f   ///
>  b(2) se(2) ///
>  keep(ATET) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for parties after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Green Left" "SP" "PvdA" "D66" "CDA" "VVD" :, pattern(1 1 1 1 1 1 ) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regressionpartiebs.tex"'})

{com}.   
.     
. esttab using "regressionparties2b.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for parties after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Green Left" "SP" "PvdA" "D66" "CDA" "VVD" :, pattern(1 1 1 1 1 1 ) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regressionparties2b.tex"'})

{com}.  
.   
.   
.  est clear
{res}{txt}
{com}.  
. 
. **Chaisemartin et al methods
.  xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.  
.  did_multiplegt extremeright panelidGWE year ATET if include==1, placebo(1) breps(50) cluster(panelidGWE)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0877154}}}{space 1}{space 1}{ralign 9:{res:{sf: .0315606}}}{space 1}{space 1}{ralign 9:{res:{sf: .0258566}}}{space 1}{space 1}{ralign 9:{res:{sf: .1495742}}}{space 1}{space 1}{ralign 9:{res:{sf:      416}}}{space 1}{space 1}{ralign 9:{res:{sf:      295}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0418428}}}{space 1}{space 1}{ralign 9:{res:{sf: .0230985}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0871159}}}{space 1}{space 1}{ralign 9:{res:{sf: .0034302}}}{space 1}{space 1}{ralign 9:{res:{sf:      346}}}{space 1}{space 1}{ralign 9:{res:{sf:      258}}}{space 1}

{com}. 
.  did_multiplegt PVVsympmean panelidGWE year ATET if include==1, placebo(1) breps(50) cluster(panelidGWE)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .2687253}}}{space 1}{space 1}{ralign 9:{res:{sf: .1872497}}}{space 1}{space 1}{ralign 9:{res:{sf: -.098284}}}{space 1}{space 1}{ralign 9:{res:{sf: .6357346}}}{space 1}{space 1}{ralign 9:{res:{sf:      558}}}{space 1}{space 1}{ralign 9:{res:{sf:      402}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.1350922}}}{space 1}{space 1}{ralign 9:{res:{sf: .1522791}}}{space 1}{space 1}{ralign 9:{res:{sf:-.4335592}}}{space 1}{space 1}{ralign 9:{res:{sf: .1633749}}}{space 1}{space 1}{ralign 9:{res:{sf:      444}}}{space 1}{space 1}{ralign 9:{res:{sf:      331}}}{space 1}

{com}. 
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. 
. did_multiplegt extremeright panelidGWE year ATET if include==1, placebo(1) breps(50) cluster(nomem_encr)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0877154}}}{space 1}{space 1}{ralign 9:{res:{sf: .0246988}}}{space 1}{space 1}{ralign 9:{res:{sf: .0393057}}}{space 1}{space 1}{ralign 9:{res:{sf:  .136125}}}{space 1}{space 1}{ralign 9:{res:{sf:      416}}}{space 1}{space 1}{ralign 9:{res:{sf:      295}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0418428}}}{space 1}{space 1}{ralign 9:{res:{sf: .0217589}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0844903}}}{space 1}{space 1}{ralign 9:{res:{sf: .0008046}}}{space 1}{space 1}{ralign 9:{res:{sf:      346}}}{space 1}{space 1}{ralign 9:{res:{sf:      258}}}{space 1}

{com}. 
. 
. did_multiplegt PVVsympmean panelidGWE year ATET if include==1, placebo(1) breps(50) cluster(nomem_encr)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .2687253}}}{space 1}{space 1}{ralign 9:{res:{sf: .1659551}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0565468}}}{space 1}{space 1}{ralign 9:{res:{sf: .5939974}}}{space 1}{space 1}{ralign 9:{res:{sf:      558}}}{space 1}{space 1}{ralign 9:{res:{sf:      402}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.1350922}}}{space 1}{space 1}{ralign 9:{res:{sf: .1510979}}}{space 1}{space 1}{ralign 9:{res:{sf:-.4312441}}}{space 1}{space 1}{ralign 9:{res:{sf: .1610598}}}{space 1}{space 1}{ralign 9:{res:{sf:      444}}}{space 1}{space 1}{ralign 9:{res:{sf:      331}}}{space 1}

{com}. 
. 
.  
.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.  did_multiplegt extremeright nomem_encr year ATET if include==1, robust_dynamic dynamic(4) longdiff_placebo placebo(4) breps(50) cluster(panelidGWE)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0877154}}}{space 1}{space 1}{ralign 9:{res:{sf: .0242953}}}{space 1}{space 1}{ralign 9:{res:{sf: .0400965}}}{space 1}{space 1}{ralign 9:{res:{sf: .1353342}}}{space 1}{space 1}{ralign 9:{res:{sf:      416}}}{space 1}{space 1}{ralign 9:{res:{sf:      295}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .1112929}}}{space 1}{space 1}{ralign 9:{res:{sf: .0374688}}}{space 1}{space 1}{ralign 9:{res:{sf:  .037854}}}{space 1}{space 1}{ralign 9:{res:{sf: .1847317}}}{space 1}{space 1}{ralign 9:{res:{sf:      345}}}{space 1}{space 1}{ralign 9:{res:{sf:      257}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0963209}}}{space 1}{space 1}{ralign 9:{res:{sf: .0453152}}}{space 1}{space 1}{ralign 9:{res:{sf: .0075031}}}{space 1}{space 1}{ralign 9:{res:{sf: .1851387}}}{space 1}{space 1}{ralign 9:{res:{sf:      263}}}{space 1}{space 1}{ralign 9:{res:{sf:      206}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .1057716}}}{space 1}{space 1}{ralign 9:{res:{sf: .0408967}}}{space 1}{space 1}{ralign 9:{res:{sf: .0256141}}}{space 1}{space 1}{ralign 9:{res:{sf: .1859291}}}{space 1}{space 1}{ralign 9:{res:{sf:      221}}}{space 1}{space 1}{ralign 9:{res:{sf:      174}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .1016146}}}{space 1}{space 1}{ralign 9:{res:{sf: .0418771}}}{space 1}{space 1}{ralign 9:{res:{sf: .0195354}}}{space 1}{space 1}{ralign 9:{res:{sf: .1836938}}}{space 1}{space 1}{ralign 9:{res:{sf:      200}}}{space 1}{space 1}{ralign 9:{res:{sf:      157}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0418428}}}{space 1}{space 1}{ralign 9:{res:{sf: .0220437}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0013628}}}{space 1}{space 1}{ralign 9:{res:{sf: .0850485}}}{space 1}{space 1}{ralign 9:{res:{sf:      346}}}{space 1}{space 1}{ralign 9:{res:{sf:      258}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:  .041453}}}{space 1}{space 1}{ralign 9:{res:{sf: .0236148}}}{space 1}{space 1}{ralign 9:{res:{sf: -.004832}}}{space 1}{space 1}{ralign 9:{res:{sf:  .087738}}}{space 1}{space 1}{ralign 9:{res:{sf:      232}}}{space 1}{space 1}{ralign 9:{res:{sf:      180}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0363636}}}{space 1}{space 1}{ralign 9:{res:{sf: .0372955}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0367355}}}{space 1}{space 1}{ralign 9:{res:{sf: .1094628}}}{space 1}{space 1}{ralign 9:{res:{sf:      189}}}{space 1}{space 1}{ralign 9:{res:{sf:      154}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0133399}}}{space 1}{space 1}{ralign 9:{res:{sf: .0512505}}}{space 1}{space 1}{ralign 9:{res:{sf: -.087111}}}{space 1}{space 1}{ralign 9:{res:{sf: .1137908}}}{space 1}{space 1}{ralign 9:{res:{sf:      111}}}{space 1}{space 1}{ralign 9:{res:{sf:       88}}}{space 1}

{com}.  
.  event_plot e(estimates)#e(variances), default_look ///
>         graph_opt(xtitle("Years since policy change (0=2015)") ytitle("Average effect") ///
>         xlabel(-4(1)4)) stub_lag(Effect_#) stub_lead(Placebo_#) together
{txt}
{com}.  
.  
.  
.   est clear
{txt}
{com}.  
. did_multiplegt extremeright nomem_encr year ATET if include==1, robust_dynamic dynamic(4) longdiff_placebo placebo(4) breps(50) cluster(panelidGWE)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0877154}}}{space 1}{space 1}{ralign 9:{res:{sf:  .029409}}}{space 1}{space 1}{ralign 9:{res:{sf: .0300737}}}{space 1}{space 1}{ralign 9:{res:{sf:  .145357}}}{space 1}{space 1}{ralign 9:{res:{sf:      416}}}{space 1}{space 1}{ralign 9:{res:{sf:      295}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .1112929}}}{space 1}{space 1}{ralign 9:{res:{sf: .0451565}}}{space 1}{space 1}{ralign 9:{res:{sf: .0227862}}}{space 1}{space 1}{ralign 9:{res:{sf: .1997996}}}{space 1}{space 1}{ralign 9:{res:{sf:      345}}}{space 1}{space 1}{ralign 9:{res:{sf:      257}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0963209}}}{space 1}{space 1}{ralign 9:{res:{sf:  .049205}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0001208}}}{space 1}{space 1}{ralign 9:{res:{sf: .1927626}}}{space 1}{space 1}{ralign 9:{res:{sf:      263}}}{space 1}{space 1}{ralign 9:{res:{sf:      206}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .1057716}}}{space 1}{space 1}{ralign 9:{res:{sf: .0516717}}}{space 1}{space 1}{ralign 9:{res:{sf: .0044951}}}{space 1}{space 1}{ralign 9:{res:{sf:  .207048}}}{space 1}{space 1}{ralign 9:{res:{sf:      221}}}{space 1}{space 1}{ralign 9:{res:{sf:      174}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .1016146}}}{space 1}{space 1}{ralign 9:{res:{sf: .0554029}}}{space 1}{space 1}{ralign 9:{res:{sf: -.006975}}}{space 1}{space 1}{ralign 9:{res:{sf: .2102042}}}{space 1}{space 1}{ralign 9:{res:{sf:      200}}}{space 1}{space 1}{ralign 9:{res:{sf:      157}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0418428}}}{space 1}{space 1}{ralign 9:{res:{sf: .0216903}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0006702}}}{space 1}{space 1}{ralign 9:{res:{sf: .0843559}}}{space 1}{space 1}{ralign 9:{res:{sf:      346}}}{space 1}{space 1}{ralign 9:{res:{sf:      258}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:  .041453}}}{space 1}{space 1}{ralign 9:{res:{sf: .0318624}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0209974}}}{space 1}{space 1}{ralign 9:{res:{sf: .1039034}}}{space 1}{space 1}{ralign 9:{res:{sf:      232}}}{space 1}{space 1}{ralign 9:{res:{sf:      180}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0363636}}}{space 1}{space 1}{ralign 9:{res:{sf: .0375223}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0371802}}}{space 1}{space 1}{ralign 9:{res:{sf: .1099074}}}{space 1}{space 1}{ralign 9:{res:{sf:      189}}}{space 1}{space 1}{ralign 9:{res:{sf:      154}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0133399}}}{space 1}{space 1}{ralign 9:{res:{sf: .0494492}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0835805}}}{space 1}{space 1}{ralign 9:{res:{sf: .1102603}}}{space 1}{space 1}{ralign 9:{res:{sf:      111}}}{space 1}{space 1}{ralign 9:{res:{sf:       88}}}{space 1}

{com}. 
. did_multiplegt PVVsympmean panelidGWE year ATET if include==1, placebo(1) breps(50) cluster(panelidGWE)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .2687253}}}{space 1}{space 1}{ralign 9:{res:{sf: .1639687}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0526533}}}{space 1}{space 1}{ralign 9:{res:{sf: .5901039}}}{space 1}{space 1}{ralign 9:{res:{sf:      558}}}{space 1}{space 1}{ralign 9:{res:{sf:      402}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.1350922}}}{space 1}{space 1}{ralign 9:{res:{sf: .1531796}}}{space 1}{space 1}{ralign 9:{res:{sf:-.4353241}}}{space 1}{space 1}{ralign 9:{res:{sf: .1651398}}}{space 1}{space 1}{ralign 9:{res:{sf:      444}}}{space 1}{space 1}{ralign 9:{res:{sf:      331}}}{space 1}

{com}.   
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. 
.  twowayfeweights extremeright nomem_encr year ATET if include2==1, type( feTR) 
{txt}Under the common trends assumption, beta estimates a weighted sum of 2143 ATTs. 
1975 ATTs receive a positive weight, and 168 receive a negative weight.
The sum of the positive weights is equal to 1.0074947.
The sum of the negative weights is equal to -.00749465.
beta is compatible with a DGP where the average of those ATTs is equal to 0,
while their standard deviation is equal to .04405892.
beta is compatible with a DGP where those ATTs all are of a different sign than beta,
while their standard deviation is equal to 1.1903839.

{com}. 
.  did_multiplegt extremeright nomem_encr year ATET if include2==1, placebo(4) breps(50) cluster(nomem_encr)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0633315}}}{space 1}{space 1}{ralign 9:{res:{sf:  .024685}}}{space 1}{space 1}{ralign 9:{res:{sf:  .014949}}}{space 1}{space 1}{ralign 9:{res:{sf: .1117141}}}{space 1}{space 1}{ralign 9:{res:{sf:     2320}}}{space 1}{space 1}{ralign 9:{res:{sf:      406}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0280988}}}{space 1}{space 1}{ralign 9:{res:{sf:  .019488}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0662953}}}{space 1}{space 1}{ralign 9:{res:{sf: .0100977}}}{space 1}{space 1}{ralign 9:{res:{sf:     1719}}}{space 1}{space 1}{ralign 9:{res:{sf:      331}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0200067}}}{space 1}{space 1}{ralign 9:{res:{sf: .0207124}}}{space 1}{space 1}{ralign 9:{res:{sf: -.060603}}}{space 1}{space 1}{ralign 9:{res:{sf: .0205897}}}{space 1}{space 1}{ralign 9:{res:{sf:     1269}}}{space 1}{space 1}{ralign 9:{res:{sf:      250}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0302448}}}{space 1}{space 1}{ralign 9:{res:{sf: .0234472}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0762012}}}{space 1}{space 1}{ralign 9:{res:{sf: .0157117}}}{space 1}{space 1}{ralign 9:{res:{sf:      942}}}{space 1}{space 1}{ralign 9:{res:{sf:      216}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0197701}}}{space 1}{space 1}{ralign 9:{res:{sf: .0273379}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0733523}}}{space 1}{space 1}{ralign 9:{res:{sf: .0338121}}}{space 1}{space 1}{ralign 9:{res:{sf:      579}}}{space 1}{space 1}{ralign 9:{res:{sf:      153}}}{space 1}

{com}.  
. did_multiplegt extremeright nomem_encr year ATET if include2==1, robust_dynamic dynamic(4) placebo(4) breps(50) cluster(nomem_encr)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0748918}}}{space 1}{space 1}{ralign 9:{res:{sf: .0225385}}}{space 1}{space 1}{ralign 9:{res:{sf: .0307164}}}{space 1}{space 1}{ralign 9:{res:{sf: .1190672}}}{space 1}{space 1}{ralign 9:{res:{sf:     1055}}}{space 1}{space 1}{ralign 9:{res:{sf:      353}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0970524}}}{space 1}{space 1}{ralign 9:{res:{sf: .0285132}}}{space 1}{space 1}{ralign 9:{res:{sf: .0411665}}}{space 1}{space 1}{ralign 9:{res:{sf: .1529382}}}{space 1}{space 1}{ralign 9:{res:{sf:      746}}}{space 1}{space 1}{ralign 9:{res:{sf:      303}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0933493}}}{space 1}{space 1}{ralign 9:{res:{sf: .0367907}}}{space 1}{space 1}{ralign 9:{res:{sf: .0212395}}}{space 1}{space 1}{ralign 9:{res:{sf: .1654591}}}{space 1}{space 1}{ralign 9:{res:{sf:      534}}}{space 1}{space 1}{ralign 9:{res:{sf:      245}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0934958}}}{space 1}{space 1}{ralign 9:{res:{sf: .0426021}}}{space 1}{space 1}{ralign 9:{res:{sf: .0099957}}}{space 1}{space 1}{ralign 9:{res:{sf: .1769959}}}{space 1}{space 1}{ralign 9:{res:{sf:      379}}}{space 1}{space 1}{ralign 9:{res:{sf:      206}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0955482}}}{space 1}{space 1}{ralign 9:{res:{sf: .0410264}}}{space 1}{space 1}{ralign 9:{res:{sf: .0151365}}}{space 1}{space 1}{ralign 9:{res:{sf: .1759599}}}{space 1}{space 1}{ralign 9:{res:{sf:      265}}}{space 1}{space 1}{ralign 9:{res:{sf:      175}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0306662}}}{space 1}{space 1}{ralign 9:{res:{sf:  .021574}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0729513}}}{space 1}{space 1}{ralign 9:{res:{sf:  .011619}}}{space 1}{space 1}{ralign 9:{res:{sf:      825}}}{space 1}{space 1}{ralign 9:{res:{sf:      301}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0202144}}}{space 1}{space 1}{ralign 9:{res:{sf: .0286361}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0763411}}}{space 1}{space 1}{ralign 9:{res:{sf: .0359123}}}{space 1}{space 1}{ralign 9:{res:{sf:      670}}}{space 1}{space 1}{ralign 9:{res:{sf:      238}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0309396}}}{space 1}{space 1}{ralign 9:{res:{sf: .0288551}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0874955}}}{space 1}{space 1}{ralign 9:{res:{sf: .0256163}}}{space 1}{space 1}{ralign 9:{res:{sf:      571}}}{space 1}{space 1}{ralign 9:{res:{sf:      209}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0205103}}}{space 1}{space 1}{ralign 9:{res:{sf:  .024378}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0682913}}}{space 1}{space 1}{ralign 9:{res:{sf: .0272706}}}{space 1}{space 1}{ralign 9:{res:{sf:      402}}}{space 1}{space 1}{ralign 9:{res:{sf:      150}}}{space 1}

When dynamic effects and first-difference placebos are requested, the command does
not produce a graph, because placebos estimators are DIDs across consecutive time periods,
while dynamic effects estimators are long-difference DIDs, so they are not really comparable.

{com}.  
.  
.   twowayfeweights PVVsympmean nomem_encr year ATET if include2==1, type( feTR) 
{txt}Under the common trends assumption, beta estimates a weighted sum of 2514 ATTs. 
2333 ATTs receive a positive weight, and 181 receive a negative weight.
The sum of the positive weights is equal to 1.0050851.
The sum of the negative weights is equal to -.00508513.
beta is compatible with a DGP where the average of those ATTs is equal to 0,
while their standard deviation is equal to .32389026.
beta is compatible with a DGP where those ATTs all are of a different sign than beta,
while their standard deviation is equal to 12.293952.

{com}.  did_multiplegt PVVsympmean nomem_encr year ATET if include2==1, placebo(2) breps(50) cluster(nomem_encr)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .2195909}}}{space 1}{space 1}{ralign 9:{res:{sf: .1381032}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0510914}}}{space 1}{space 1}{ralign 9:{res:{sf: .4902733}}}{space 1}{space 1}{ralign 9:{res:{sf:     2985}}}{space 1}{space 1}{ralign 9:{res:{sf:      534}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0962784}}}{space 1}{space 1}{ralign 9:{res:{sf: .1480525}}}{space 1}{space 1}{ralign 9:{res:{sf:-.3864613}}}{space 1}{space 1}{ralign 9:{res:{sf: .1939045}}}{space 1}{space 1}{ralign 9:{res:{sf:     2212}}}{space 1}{space 1}{ralign 9:{res:{sf:      431}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0846248}}}{space 1}{space 1}{ralign 9:{res:{sf: .2088948}}}{space 1}{space 1}{ralign 9:{res:{sf: -.324809}}}{space 1}{space 1}{ralign 9:{res:{sf: .4940587}}}{space 1}{space 1}{ralign 9:{res:{sf:     1245}}}{space 1}{space 1}{ralign 9:{res:{sf:       62}}}{space 1}

{com}. 
.  
. did_multiplegt PVVsympmean nomem_encr year ATET if include2==1, robust_dynamic dynamic(4) longdiff_placebo placebo(4) breps(50) cluster(nomem_encr)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .2372812}}}{space 1}{space 1}{ralign 9:{res:{sf: .1392589}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0356662}}}{space 1}{space 1}{ralign 9:{res:{sf: .5102287}}}{space 1}{space 1}{ralign 9:{res:{sf:     1377}}}{space 1}{space 1}{ralign 9:{res:{sf:      469}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:  .432986}}}{space 1}{space 1}{ralign 9:{res:{sf: .1953367}}}{space 1}{space 1}{ralign 9:{res:{sf: .0501262}}}{space 1}{space 1}{ralign 9:{res:{sf: .8158459}}}{space 1}{space 1}{ralign 9:{res:{sf:      976}}}{space 1}{space 1}{ralign 9:{res:{sf:      396}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .3660902}}}{space 1}{space 1}{ralign 9:{res:{sf: .2558361}}}{space 1}{space 1}{ralign 9:{res:{sf:-.1353486}}}{space 1}{space 1}{ralign 9:{res:{sf:  .867529}}}{space 1}{space 1}{ralign 9:{res:{sf:      698}}}{space 1}{space 1}{ralign 9:{res:{sf:      318}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .3082989}}}{space 1}{space 1}{ralign 9:{res:{sf: .2530629}}}{space 1}{space 1}{ralign 9:{res:{sf:-.1877044}}}{space 1}{space 1}{ralign 9:{res:{sf: .8043021}}}{space 1}{space 1}{ralign 9:{res:{sf:      517}}}{space 1}{space 1}{ralign 9:{res:{sf:      277}}}{space 1}
{space 0}{space 0}{ralign 12:Effect_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .5805286}}}{space 1}{space 1}{ralign 9:{res:{sf: .3162561}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0393334}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.200391}}}{space 1}{space 1}{ralign 9:{res:{sf:      352}}}{space 1}{space 1}{ralign 9:{res:{sf:      238}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:  .101053}}}{space 1}{space 1}{ralign 9:{res:{sf: .1439868}}}{space 1}{space 1}{ralign 9:{res:{sf:-.1811612}}}{space 1}{space 1}{ralign 9:{res:{sf: .3832672}}}{space 1}{space 1}{ralign 9:{res:{sf:     1086}}}{space 1}{space 1}{ralign 9:{res:{sf:      395}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.2087415}}}{space 1}{space 1}{ralign 9:{res:{sf: .3570998}}}{space 1}{space 1}{ralign 9:{res:{sf:-.9086572}}}{space 1}{space 1}{ralign 9:{res:{sf: .4911741}}}{space 1}{space 1}{ralign 9:{res:{sf:      370}}}{space 1}{space 1}{ralign 9:{res:{sf:       41}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0572837}}}{space 1}{space 1}{ralign 9:{res:{sf: .3736785}}}{space 1}{space 1}{ralign 9:{res:{sf:-.6751261}}}{space 1}{space 1}{ralign 9:{res:{sf: .7896936}}}{space 1}{space 1}{ralign 9:{res:{sf:      406}}}{space 1}{space 1}{ralign 9:{res:{sf:      234}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.2798077}}}{space 1}{space 1}{ralign 9:{res:{sf: .4045353}}}{space 1}{space 1}{ralign 9:{res:{sf:-1.072697}}}{space 1}{space 1}{ralign 9:{res:{sf: .5130815}}}{space 1}{space 1}{ralign 9:{res:{sf:      244}}}{space 1}{space 1}{ralign 9:{res:{sf:      156}}}{space 1}

{com}. 
. 
.  esttab using "regressionmulti.tex", replace f   ///
>  b(2) se(2) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regressionmulti.tex"'})

{com}.  
.  
.  *Same with other DVs
.  est clear
{txt}
{com}.  xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  GL  ATET  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,644
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,231

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0643{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0075{col 63}{txt}avg{col 67}={col 69}{res}       4.6
{txt}     Overall = {res}0.0228{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}11{txt},{res}1230{txt}){col 67}={col 70}{res}    22.40
{txt}corr(u_i, Xb) = {res}-0.0012{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,231} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          GL{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.3110131{col 26}{space 2} .1283559{col 37}{space 1}   -2.42{col 46}{space 3}0.016{col 54}{space 4}-.5628339{col 67}{space 3}-.0591924
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.1321788{col 26}{space 2} .0955266{col 37}{space 1}   -1.38{col 46}{space 3}0.167{col 54}{space 4} -.319592{col 67}{space 3} .0552344
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}  .325304{col 26}{space 2} .1154969{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .0987113{col 67}{space 3} .5518968
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.9299278{col 26}{space 2} .1181594{col 37}{space 1}   -7.87{col 46}{space 3}0.000{col 54}{space 4}-1.161744{col 67}{space 3}-.6981115
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} -.728696{col 26}{space 2} .1165317{col 37}{space 1}   -6.25{col 46}{space 3}0.000{col 54}{space 4}-.9573189{col 67}{space 3}-.5000732
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.2100461{col 26}{space 2} .1564204{col 37}{space 1}   -1.34{col 46}{space 3}0.180{col 54}{space 4}-.5169264{col 67}{space 3} .0968342
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.1160912{col 26}{space 2} .1590018{col 37}{space 1}   -0.73{col 46}{space 3}0.465{col 54}{space 4}-.4280359{col 67}{space 3} .1958535
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0206844{col 26}{space 2} .1604193{col 37}{space 1}   -0.13{col 46}{space 3}0.897{col 54}{space 4}-.3354102{col 67}{space 3} .2940414
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.1854361{col 26}{space 2} .1676566{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4}-.5143607{col 67}{space 3} .1434885
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.4834766{col 26}{space 2} .1668501{col 37}{space 1}   -2.90{col 46}{space 3}0.004{col 54}{space 4}-.8108189{col 67}{space 3}-.1561344
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.5034216{col 26}{space 2} .1688131{col 37}{space 1}   -2.98{col 46}{space 3}0.003{col 54}{space 4}-.8346151{col 67}{space 3}-.1722282
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.490379{col 26}{space 2} .0981569{col 37}{space 1}   55.93{col 46}{space 3}0.000{col 54}{space 4} 5.297806{col 67}{space 3} 5.682953
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.0719532
     {txt}sigma_e {c |} {res} 1.3690172
         {txt}rho {c |} {res} .69610055{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  GL ATET  i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,335
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,174

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0715{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0545{col 63}{txt}avg{col 67}={col 69}{res}       4.5
{txt}     Overall = {res}0.0672{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}22{txt},{res}1173{txt}){col 67}={col 70}{res}    11.92
{txt}corr(u_i, Xb) = {res}0.0250{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,174} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      GL{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} -.276989{col 38}{space 2} .1369814{col 49}{space 1}   -2.02{col 58}{space 3}0.043{col 66}{space 4} -.545745{col 79}{space 3}-.0082331
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.6762177{col 38}{space 2} .3970644{col 49}{space 1}   -1.70{col 58}{space 3}0.089{col 66}{space 4}-1.455254{col 79}{space 3} .1028181
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1031067{col 38}{space 2} .4618748{col 49}{space 1}    0.22{col 58}{space 3}0.823{col 66}{space 4}-.8030863{col 79}{space 3}   1.0093
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.3944726{col 38}{space 2} .4177222{col 49}{space 1}   -0.94{col 58}{space 3}0.345{col 66}{space 4}-1.214039{col 79}{space 3} .4250935
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0131497{col 38}{space 2} .4624719{col 49}{space 1}   -0.03{col 58}{space 3}0.977{col 66}{space 4}-.9205142{col 79}{space 3} .8942147
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .7917067{col 38}{space 2} .5417999{col 49}{space 1}    1.46{col 58}{space 3}0.144{col 66}{space 4}-.2712984{col 79}{space 3} 1.854712
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .049195{col 38}{space 2} .0463162{col 49}{space 1}    1.06{col 58}{space 3}0.288{col 66}{space 4}-.0416769{col 79}{space 3} .1400668
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .1400629{col 38}{space 2} .2122516{col 49}{space 1}    0.66{col 58}{space 3}0.509{col 66}{space 4}-.2763723{col 79}{space 3} .5564982
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .1319605{col 38}{space 2} .1251874{col 49}{space 1}    1.05{col 58}{space 3}0.292{col 66}{space 4}-.1136557{col 79}{space 3} .3775768
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0501679{col 38}{space 2} .2321538{col 49}{space 1}   -0.22{col 58}{space 3}0.829{col 66}{space 4} -.505651{col 79}{space 3} .4053152
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1160251{col 38}{space 2} .2323729{col 49}{space 1}    0.50{col 58}{space 3}0.618{col 66}{space 4}-.3398878{col 79}{space 3}  .571938
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .2630645{col 38}{space 2} .1489688{col 49}{space 1}    1.77{col 58}{space 3}0.078{col 66}{space 4}-.0292105{col 79}{space 3} .5553394
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.1404088{col 38}{space 2} .0991041{col 49}{space 1}   -1.42{col 58}{space 3}0.157{col 66}{space 4}-.3348499{col 79}{space 3} .0540324
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2954954{col 38}{space 2} .1213958{col 49}{space 1}    2.43{col 58}{space 3}0.015{col 66}{space 4} .0573182{col 79}{space 3} .5336726
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.9628735{col 38}{space 2}  .124385{col 49}{space 1}   -7.74{col 58}{space 3}0.000{col 66}{space 4}-1.206915{col 79}{space 3}-.7188315
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.7712615{col 38}{space 2} .1235586{col 49}{space 1}   -6.24{col 58}{space 3}0.000{col 66}{space 4}-1.013682{col 79}{space 3} -.528841
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.2846223{col 38}{space 2} .1680708{col 49}{space 1}   -1.69{col 58}{space 3}0.091{col 66}{space 4}-.6143754{col 79}{space 3} .0451307
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.2132204{col 38}{space 2}  .171491{col 49}{space 1}   -1.24{col 58}{space 3}0.214{col 66}{space 4}-.5496838{col 79}{space 3}  .123243
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0911246{col 38}{space 2} .1737245{col 49}{space 1}   -0.52{col 58}{space 3}0.600{col 66}{space 4}  -.43197{col 79}{space 3} .2497207
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} -.286948{col 38}{space 2} .1826837{col 49}{space 1}   -1.57{col 58}{space 3}0.117{col 66}{space 4}-.6453713{col 79}{space 3} .0714753
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.6012831{col 38}{space 2} .1815297{col 49}{space 1}   -3.31{col 58}{space 3}0.001{col 66}{space 4}-.9574422{col 79}{space 3} -.245124
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.6658313{col 38}{space 2}  .183846{col 49}{space 1}   -3.62{col 58}{space 3}0.000{col 66}{space 4}-1.026535{col 79}{space 3}-.3051276
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.286006{col 38}{space 2} .4781245{col 49}{space 1}   11.06{col 58}{space 3}0.000{col 66}{space 4} 4.347931{col 79}{space 3}  6.22408
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.0200289
                 {txt}sigma_e {c |} {res} 1.3627172
                     {txt}rho {c |} {res} .68724319{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.   eststo: xtreg  price1  ATET  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,777
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,314

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0183{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0046{col 63}{txt}avg{col 67}={col 69}{res}       5.2
{txt}     Overall = {res}0.0089{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1313{txt}){col 67}={col 70}{res}     7.93
{txt}corr(u_i, Xb) = {res}-0.0191{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,314} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      price1{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0555557{col 26}{space 2} .0225187{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .0113791{col 67}{space 3} .0997323
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0014285{col 26}{space 2} .0229203{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4} -.043536{col 67}{space 3}  .046393
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0439303{col 26}{space 2} .0216085{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0015393{col 67}{space 3} .0863212
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}   .08289{col 26}{space 2} .0220428{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .0396469{col 67}{space 3}  .126133
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .1032597{col 26}{space 2} .0223741{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4} .0593668{col 67}{space 3} .1471526
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .1129628{col 26}{space 2} .0226408{col 37}{space 1}    4.99{col 46}{space 3}0.000{col 54}{space 4} .0685468{col 67}{space 3} .1573788
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}  .004518{col 26}{space 2} .0279763{col 37}{space 1}    0.16{col 46}{space 3}0.872{col 54}{space 4}-.0503652{col 67}{space 3} .0594011
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0280638{col 26}{space 2} .0278829{col 37}{space 1}   -1.01{col 46}{space 3}0.314{col 54}{space 4}-.0827638{col 67}{space 3} .0266361
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0065563{col 26}{space 2} .0292474{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4} -.063933{col 67}{space 3} .0508204
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0668698{col 26}{space 2} .0303714{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0072879{col 67}{space 3} .1264516
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .0185027{col 26}{space 2} .0302585{col 37}{space 1}    0.61{col 46}{space 3}0.541{col 54}{space 4}-.0408576{col 67}{space 3} .0778631
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0286741{col 26}{space 2}  .029698{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-.0869349{col 67}{space 3} .0295867
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  .150553{col 26}{space 2}  .017663{col 37}{space 1}    8.52{col 46}{space 3}0.000{col 54}{space 4} .1159022{col 67}{space 3} .1852038
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30945438
     {txt}sigma_e {c |} {res} .31361169
         {txt}rho {c |} {res} .49332795{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  price1 ATET  i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,369
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,253

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0210{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0022{col 63}{txt}avg{col 67}={col 69}{res}       5.1
{txt}     Overall = {res}0.0027{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1252{txt}){col 67}={col 70}{res}     4.37
{txt}corr(u_i, Xb) = {res}-0.1684{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,253} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                  price1{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0463775{col 38}{space 2} .0232648{col 49}{space 1}    1.99{col 58}{space 3}0.046{col 66}{space 4} .0007351{col 79}{space 3} .0920199
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0630839{col 38}{space 2} .0593532{col 49}{space 1}    1.06{col 58}{space 3}0.288{col 66}{space 4}-.0533589{col 79}{space 3} .1795266
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0141459{col 38}{space 2} .0783592{col 49}{space 1}    0.18{col 58}{space 3}0.857{col 66}{space 4}-.1395839{col 79}{space 3} .1678757
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0111342{col 38}{space 2} .0679464{col 49}{space 1}   -0.16{col 58}{space 3}0.870{col 66}{space 4}-.1444355{col 79}{space 3}  .122167
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0713096{col 38}{space 2} .0744828{col 49}{space 1}    0.96{col 58}{space 3}0.339{col 66}{space 4}-.0748152{col 79}{space 3} .2174345
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0381935{col 38}{space 2} .0797391{col 49}{space 1}    0.48{col 58}{space 3}0.632{col 66}{space 4}-.1182435{col 79}{space 3} .1946305
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0093552{col 38}{space 2} .0074471{col 49}{space 1}    1.26{col 58}{space 3}0.209{col 66}{space 4} -.005255{col 79}{space 3} .0239654
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0244313{col 38}{space 2} .0438097{col 49}{space 1}    0.56{col 58}{space 3}0.577{col 66}{space 4}-.0615172{col 79}{space 3} .1103798
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0498651{col 38}{space 2} .0237684{col 49}{space 1}    2.10{col 58}{space 3}0.036{col 66}{space 4} .0032347{col 79}{space 3} .0964954
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0399519{col 38}{space 2} .0360196{col 49}{space 1}    1.11{col 58}{space 3}0.268{col 66}{space 4}-.0307135{col 79}{space 3} .1106174
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}  .155334{col 38}{space 2}  .047058{col 49}{space 1}    3.30{col 58}{space 3}0.001{col 66}{space 4} .0630128{col 79}{space 3} .2476552
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0589283{col 38}{space 2} .0253755{col 49}{space 1}    2.32{col 58}{space 3}0.020{col 66}{space 4} .0091452{col 79}{space 3} .1087114
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0008871{col 38}{space 2} .0236235{col 49}{space 1}   -0.04{col 58}{space 3}0.970{col 66}{space 4} -.047233{col 79}{space 3} .0454589
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0409118{col 38}{space 2} .0220153{col 49}{space 1}    1.86{col 58}{space 3}0.063{col 66}{space 4} -.002279{col 79}{space 3} .0841027
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0804249{col 38}{space 2} .0227676{col 49}{space 1}    3.53{col 58}{space 3}0.000{col 66}{space 4} .0357579{col 79}{space 3} .1250918
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0864946{col 38}{space 2}   .02289{col 49}{space 1}    3.78{col 58}{space 3}0.000{col 66}{space 4} .0415876{col 79}{space 3} .1314016
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0985925{col 38}{space 2} .0231986{col 49}{space 1}    4.25{col 58}{space 3}0.000{col 66}{space 4} .0530802{col 79}{space 3} .1441049
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0033146{col 38}{space 2} .0289164{col 49}{space 1}   -0.11{col 58}{space 3}0.909{col 66}{space 4}-.0600445{col 79}{space 3} .0534152
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0390357{col 38}{space 2} .0289057{col 49}{space 1}   -1.35{col 58}{space 3}0.177{col 66}{space 4}-.0957447{col 79}{space 3} .0176733
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0130792{col 38}{space 2} .0304937{col 49}{space 1}   -0.43{col 58}{space 3}0.668{col 66}{space 4}-.0729035{col 79}{space 3} .0467451
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0548963{col 38}{space 2} .0320074{col 49}{space 1}    1.72{col 58}{space 3}0.087{col 66}{space 4}-.0078977{col 79}{space 3} .1176904
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}  .006507{col 38}{space 2} .0320224{col 49}{space 1}    0.20{col 58}{space 3}0.839{col 66}{space 4}-.0563165{col 79}{space 3} .0693304
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0402627{col 38}{space 2} .0312496{col 49}{space 1}   -1.29{col 58}{space 3}0.198{col 66}{space 4}  -.10157{col 79}{space 3} .0210447
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}  .011644{col 38}{space 2} .0764912{col 49}{space 1}    0.15{col 58}{space 3}0.879{col 66}{space 4}-.1384211{col 79}{space 3} .1617091
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res}  .3095498
                 {txt}sigma_e {c |} {res}  .3096949
                     {txt}rho {c |} {res} .49976569{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg  immigration  ATET  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,568
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,301

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0117{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0033{col 63}{txt}avg{col 67}={col 69}{res}       5.0
{txt}     Overall = {res}0.0067{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1300{txt}){col 67}={col 70}{res}     4.97
{txt}corr(u_i, Xb) = {res}0.0217{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,301} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} immigration{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0633486{col 26}{space 2} .0471173{col 37}{space 1}    1.34{col 46}{space 3}0.179{col 54}{space 4}-.0290857{col 67}{space 3} .1557828
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0277015{col 26}{space 2} .0490617{col 37}{space 1}    0.56{col 46}{space 3}0.572{col 54}{space 4}-.0685473{col 67}{space 3} .1239504
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0472688{col 26}{space 2} .0499699{col 37}{space 1}   -0.95{col 46}{space 3}0.344{col 54}{space 4}-.1452993{col 67}{space 3} .0507616
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0658037{col 26}{space 2} .0480948{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-.1601556{col 67}{space 3} .0285483
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .0013702{col 26}{space 2} .0482032{col 37}{space 1}    0.03{col 46}{space 3}0.977{col 54}{space 4}-.0931944{col 67}{space 3} .0959348
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} -.017787{col 26}{space 2} .0480749{col 37}{space 1}   -0.37{col 46}{space 3}0.711{col 54}{space 4}   -.1121{col 67}{space 3} .0765259
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0458931{col 26}{space 2} .0596732{col 37}{space 1}   -0.77{col 46}{space 3}0.442{col 54}{space 4}-.1629594{col 67}{space 3} .0711733
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .0531924{col 26}{space 2} .0610582{col 37}{space 1}    0.87{col 46}{space 3}0.384{col 54}{space 4} -.066591{col 67}{space 3} .1729758
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.1496403{col 26}{space 2} .0633254{col 37}{space 1}   -2.36{col 46}{space 3}0.018{col 54}{space 4}-.2738715{col 67}{space 3}-.0254091
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0543215{col 26}{space 2} .0646511{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.1811535{col 67}{space 3} .0725105
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.1187889{col 26}{space 2} .0663811{col 37}{space 1}   -1.79{col 46}{space 3}0.074{col 54}{space 4}-.2490148{col 67}{space 3} .0114369
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.1946901{col 26}{space 2} .0676929{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4}-.3274893{col 67}{space 3}-.0618908
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.698461{col 26}{space 2} .0407179{col 37}{space 1}   90.83{col 46}{space 3}0.000{col 54}{space 4} 3.618581{col 67}{space 3} 3.778341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .89629261
     {txt}sigma_e {c |} {res} .60797683
         {txt}rho {c |} {res} .68487357{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  immigration ATET  i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,192
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,247

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0130{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0050{col 63}{txt}avg{col 67}={col 69}{res}       5.0
{txt}     Overall = {res}0.0080{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1246{txt}){col 67}={col 70}{res}     2.79
{txt}corr(u_i, Xb) = {res}0.0122{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,247} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             immigration{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0641136{col 38}{space 2} .0492308{col 49}{space 1}    1.30{col 58}{space 3}0.193{col 66}{space 4}-.0324708{col 79}{space 3} .1606979
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0553941{col 38}{space 2} .1141262{col 49}{space 1}   -0.49{col 58}{space 3}0.627{col 66}{space 4}-.2792949{col 79}{space 3} .1685066
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0544755{col 38}{space 2} .2218464{col 49}{space 1}   -0.25{col 58}{space 3}0.806{col 66}{space 4}-.4897093{col 79}{space 3} .3807583
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.1139343{col 38}{space 2} .1676251{col 49}{space 1}   -0.68{col 58}{space 3}0.497{col 66}{space 4} -.442793{col 79}{space 3} .2149244
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.1031176{col 38}{space 2} .2026174{col 49}{space 1}   -0.51{col 58}{space 3}0.611{col 66}{space 4}-.5006265{col 79}{space 3} .2943913
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.1241145{col 38}{space 2} .2301774{col 49}{space 1}   -0.54{col 58}{space 3}0.590{col 66}{space 4}-.5756926{col 79}{space 3} .3274635
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0103863{col 38}{space 2} .0161549{col 49}{space 1}   -0.64{col 58}{space 3}0.520{col 66}{space 4}-.0420801{col 79}{space 3} .0213075
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}  .100155{col 38}{space 2} .1122399{col 49}{space 1}    0.89{col 58}{space 3}0.372{col 66}{space 4} -.120045{col 79}{space 3}  .320355
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0237074{col 38}{space 2} .0480907{col 49}{space 1}   -0.49{col 58}{space 3}0.622{col 66}{space 4}-.1180552{col 79}{space 3} .0706403
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0609346{col 38}{space 2}  .088797{col 49}{space 1}    0.69{col 58}{space 3}0.493{col 66}{space 4}-.1132735{col 79}{space 3} .2351427
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} -.096148{col 38}{space 2} .0834713{col 49}{space 1}   -1.15{col 58}{space 3}0.250{col 66}{space 4}-.2599079{col 79}{space 3} .0676118
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0002485{col 38}{space 2} .0521174{col 49}{space 1}    0.00{col 58}{space 3}0.996{col 66}{space 4}-.1019991{col 79}{space 3}  .102496
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0401391{col 38}{space 2} .0506768{col 49}{space 1}    0.79{col 58}{space 3}0.428{col 66}{space 4}-.0592822{col 79}{space 3} .1395605
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0395896{col 38}{space 2} .0518876{col 49}{space 1}   -0.76{col 58}{space 3}0.446{col 66}{space 4}-.1413863{col 79}{space 3} .0622072
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0506997{col 38}{space 2}  .050298{col 49}{space 1}   -1.01{col 58}{space 3}0.314{col 66}{space 4}-.1493778{col 79}{space 3} .0479784
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0122913{col 38}{space 2} .0496932{col 49}{space 1}    0.25{col 58}{space 3}0.805{col 66}{space 4}-.0852003{col 79}{space 3} .1097829
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0112952{col 38}{space 2} .0503633{col 49}{space 1}   -0.22{col 58}{space 3}0.823{col 66}{space 4}-.1101014{col 79}{space 3} .0875111
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0489766{col 38}{space 2} .0627977{col 49}{space 1}   -0.78{col 58}{space 3}0.436{col 66}{space 4}-.1721775{col 79}{space 3} .0742244
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0658622{col 38}{space 2} .0641409{col 49}{space 1}    1.03{col 58}{space 3}0.305{col 66}{space 4}-.0599739{col 79}{space 3} .1916982
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.1473718{col 38}{space 2} .0667882{col 49}{space 1}   -2.21{col 58}{space 3}0.028{col 66}{space 4}-.2784015{col 79}{space 3}-.0163422
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0410155{col 38}{space 2} .0675731{col 49}{space 1}   -0.61{col 58}{space 3}0.544{col 66}{space 4}-.1735852{col 79}{space 3} .0915542
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0964605{col 38}{space 2} .0711989{col 49}{space 1}   -1.35{col 58}{space 3}0.176{col 66}{space 4}-.2361435{col 79}{space 3} .0432225
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.1739951{col 38}{space 2} .0719471{col 49}{space 1}   -2.42{col 58}{space 3}0.016{col 66}{space 4} -.315146{col 79}{space 3}-.0328443
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.850265{col 38}{space 2} .1866752{col 49}{space 1}   20.63{col 58}{space 3}0.000{col 66}{space 4} 3.484033{col 79}{space 3} 4.216497
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .89607573
                 {txt}sigma_e {c |} {res} .61060154
                     {txt}rho {c |} {res} .68290637{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg  EU  ATET i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,217
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,274

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0523{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0039{col 63}{txt}avg{col 67}={col 69}{res}       4.9
{txt}     Overall = {res}0.0176{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1273{txt}){col 67}={col 70}{res}    13.90
{txt}corr(u_i, Xb) = {res}-0.0291{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,274} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          EU{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0152567{col 26}{space 2} .0622047{col 37}{space 1}    0.25{col 46}{space 3}0.806{col 54}{space 4}-.1067782{col 67}{space 3} .1372917
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0713266{col 26}{space 2} .0606392{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.0476371{col 67}{space 3} .1902902
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .5253629{col 26}{space 2} .0683569{col 37}{space 1}    7.69{col 46}{space 3}0.000{col 54}{space 4} .3912582{col 67}{space 3} .6594675
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .4703018{col 26}{space 2} .0712328{col 37}{space 1}    6.60{col 46}{space 3}0.000{col 54}{space 4} .3305552{col 67}{space 3} .6100483
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .6217666{col 26}{space 2} .0672208{col 37}{space 1}    9.25{col 46}{space 3}0.000{col 54}{space 4}  .489891{col 67}{space 3} .7536423
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .6576862{col 26}{space 2} .0678001{col 37}{space 1}    9.70{col 46}{space 3}0.000{col 54}{space 4}  .524674{col 67}{space 3} .7906985
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .5804649{col 26}{space 2} .0820664{col 37}{space 1}    7.07{col 46}{space 3}0.000{col 54}{space 4} .4194646{col 67}{space 3} .7414652
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .6148575{col 26}{space 2} .0857535{col 37}{space 1}    7.17{col 46}{space 3}0.000{col 54}{space 4} .4466237{col 67}{space 3} .7830912
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .4857154{col 26}{space 2} .0854332{col 37}{space 1}    5.69{col 46}{space 3}0.000{col 54}{space 4} .3181099{col 67}{space 3} .6533208
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .3786701{col 26}{space 2} .0893152{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4}  .203449{col 67}{space 3} .5538911
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .4492884{col 26}{space 2} .0906866{col 37}{space 1}    4.95{col 46}{space 3}0.000{col 54}{space 4} .2713769{col 67}{space 3}    .6272
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .3871909{col 26}{space 2} .0889966{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4} .2125947{col 67}{space 3} .5617871
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.189506{col 26}{space 2} .0578761{col 37}{space 1}   55.11{col 46}{space 3}0.000{col 54}{space 4} 3.075963{col 67}{space 3} 3.303049
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 1.0084509
     {txt}sigma_e {c |} {res} .74413284
         {txt}rho {c |} {res}  .6474621{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  EU ATET  i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,879
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,219

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0570{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0006{col 63}{txt}avg{col 67}={col 69}{res}       4.8
{txt}     Overall = {res}0.0126{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1218{txt}){col 67}={col 70}{res}     8.07
{txt}corr(u_i, Xb) = {res}-0.0858{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,219} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      EU{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0194256{col 38}{space 2} .0651104{col 49}{space 1}   -0.30{col 58}{space 3}0.765{col 66}{space 4}-.1471667{col 79}{space 3} .1083154
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0303216{col 38}{space 2} .1555341{col 49}{space 1}    0.19{col 58}{space 3}0.845{col 66}{space 4}-.2748229{col 79}{space 3} .3354661
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1982359{col 38}{space 2} .1703577{col 49}{space 1}    1.16{col 58}{space 3}0.245{col 66}{space 4}-.1359911{col 79}{space 3}  .532463
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0788251{col 38}{space 2} .1318775{col 49}{space 1}    0.60{col 58}{space 3}0.550{col 66}{space 4}-.1799071{col 79}{space 3} .3375573
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0558022{col 38}{space 2} .1812352{col 49}{space 1}   -0.31{col 58}{space 3}0.758{col 66}{space 4}-.4113699{col 79}{space 3} .2997656
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0746408{col 38}{space 2} .2046845{col 49}{space 1}    0.36{col 58}{space 3}0.715{col 66}{space 4}-.3269324{col 79}{space 3} .4762141
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0109292{col 38}{space 2} .0185881{col 49}{space 1}   -0.59{col 58}{space 3}0.557{col 66}{space 4}-.0473975{col 79}{space 3} .0255391
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} -.152393{col 38}{space 2} .1172052{col 49}{space 1}   -1.30{col 58}{space 3}0.194{col 66}{space 4}-.3823394{col 79}{space 3} .0775534
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0356612{col 38}{space 2} .0705072{col 49}{space 1}    0.51{col 58}{space 3}0.613{col 66}{space 4}-.1026679{col 79}{space 3} .1739903
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0040083{col 38}{space 2} .1167114{col 49}{space 1}   -0.03{col 58}{space 3}0.973{col 66}{space 4} -.232986{col 79}{space 3} .2249695
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} -.292416{col 38}{space 2} .1410922{col 49}{space 1}   -2.07{col 58}{space 3}0.038{col 66}{space 4}-.5692266{col 79}{space 3}-.0156053
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0402575{col 38}{space 2} .0835364{col 49}{space 1}   -0.48{col 58}{space 3}0.630{col 66}{space 4}-.2041487{col 79}{space 3} .1236337
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0450785{col 38}{space 2} .0604585{col 49}{space 1}    0.75{col 58}{space 3}0.456{col 66}{space 4}-.0735358{col 79}{space 3} .1636928
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5285046{col 38}{space 2} .0694253{col 49}{space 1}    7.61{col 58}{space 3}0.000{col 66}{space 4} .3922981{col 79}{space 3} .6647111
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .4615882{col 38}{space 2} .0718263{col 49}{space 1}    6.43{col 58}{space 3}0.000{col 66}{space 4} .3206712{col 79}{space 3} .6025052
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .6211149{col 38}{space 2} .0673699{col 49}{space 1}    9.22{col 58}{space 3}0.000{col 66}{space 4}  .488941{col 79}{space 3} .7532888
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .6535874{col 38}{space 2} .0686621{col 49}{space 1}    9.52{col 58}{space 3}0.000{col 66}{space 4} .5188782{col 79}{space 3} .7882965
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .6067893{col 38}{space 2} .0841066{col 49}{space 1}    7.21{col 58}{space 3}0.000{col 66}{space 4} .4417794{col 79}{space 3} .7717992
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .6389742{col 38}{space 2} .0893223{col 49}{space 1}    7.15{col 58}{space 3}0.000{col 66}{space 4} .4637317{col 79}{space 3} .8142168
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}  .516968{col 38}{space 2} .0886437{col 49}{space 1}    5.83{col 58}{space 3}0.000{col 66}{space 4} .3430567{col 79}{space 3} .6908792
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .3991596{col 38}{space 2} .0935401{col 49}{space 1}    4.27{col 58}{space 3}0.000{col 66}{space 4}  .215642{col 79}{space 3} .5826773
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .4770627{col 38}{space 2} .0965081{col 49}{space 1}    4.94{col 58}{space 3}0.000{col 66}{space 4} .2877221{col 79}{space 3} .6664033
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .4228259{col 38}{space 2} .0935614{col 49}{space 1}    4.52{col 58}{space 3}0.000{col 66}{space 4} .2392665{col 79}{space 3} .6063853
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.260915{col 38}{space 2} .1881822{col 49}{space 1}   17.33{col 58}{space 3}0.000{col 66}{space 4} 2.891718{col 79}{space 3} 3.630113
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.0262326
                 {txt}sigma_e {c |} {res} .73909322
                     {txt}rho {c |} {res} .65846279{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg leftright ATET  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,859
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,229

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0087{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0000{col 63}{txt}avg{col 67}={col 69}{res}       4.8
{txt}     Overall = {res}0.0018{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1228{txt}){col 67}={col 70}{res}     3.23
{txt}corr(u_i, Xb) = {res}-0.0025{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0001

{txt}{ralign 78:(Std. err. adjusted for {res:1,229} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   leftright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0266142{col 26}{space 2} .0865455{col 37}{space 1}   -0.31{col 46}{space 3}0.759{col 54}{space 4}-.1964076{col 67}{space 3} .1431793
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .3343143{col 26}{space 2} .0923181{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4} .1531956{col 67}{space 3} .5154331
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .2008395{col 26}{space 2}  .106764{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0086205{col 67}{space 3} .4102995
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}  .137245{col 26}{space 2}  .099895{col 37}{space 1}    1.37{col 46}{space 3}0.170{col 54}{space 4}-.0587389{col 67}{space 3} .3332288
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0023676{col 26}{space 2} .1019236{col 37}{space 1}   -0.02{col 46}{space 3}0.981{col 54}{space 4}-.2023313{col 67}{space 3} .1975962
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .1051587{col 26}{space 2} .0937297{col 37}{space 1}    1.12{col 46}{space 3}0.262{col 54}{space 4}-.0787295{col 67}{space 3} .2890469
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .1707739{col 26}{space 2} .1214334{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.0674659{col 67}{space 3} .4090137
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .1978463{col 26}{space 2} .1225474{col 37}{space 1}    1.61{col 46}{space 3}0.107{col 54}{space 4}-.0425792{col 67}{space 3} .4382717
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .1134423{col 26}{space 2}  .128624{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4}-.1389049{col 67}{space 3} .3657895
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0974781{col 26}{space 2} .1300157{col 37}{space 1}    0.75{col 46}{space 3}0.454{col 54}{space 4}-.1575993{col 67}{space 3} .3525556
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2112892{col 26}{space 2} .1273009{col 37}{space 1}    1.66{col 46}{space 3}0.097{col 54}{space 4}-.0384621{col 67}{space 3} .4610405
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .3844297{col 26}{space 2} .1343392{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4}   .12087{col 67}{space 3} .6479895
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.485372{col 26}{space 2} .0829897{col 37}{space 1}   54.05{col 46}{space 3}0.000{col 54}{space 4} 4.322555{col 67}{space 3}  4.64819
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.0343522
     {txt}sigma_e {c |} {res} 1.1153847
         {txt}rho {c |} {res} .76887257{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est9{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  leftright ATET i.oplcat   lninc i.employ  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,553
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,175

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0120{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0073{col 63}{txt}avg{col 67}={col 69}{res}       4.7
{txt}     Overall = {res}0.0232{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1174{txt}){col 67}={col 70}{res}     2.25
{txt}corr(u_i, Xb) = {res}0.0287{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0007

{txt}{ralign 90:(Std. err. adjusted for {res:1,175} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}               leftright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0168557{col 38}{space 2} .0907911{col 49}{space 1}   -0.19{col 58}{space 3}0.853{col 66}{space 4}-.1949867{col 79}{space 3} .1612752
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1126029{col 38}{space 2} .3002976{col 49}{space 1}   -0.37{col 58}{space 3}0.708{col 66}{space 4}-.7017829{col 79}{space 3}  .476577
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.3229732{col 38}{space 2}  .374064{col 49}{space 1}   -0.86{col 58}{space 3}0.388{col 66}{space 4}-1.056882{col 79}{space 3} .4109353
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .1208094{col 38}{space 2} .2494017{col 49}{space 1}    0.48{col 58}{space 3}0.628{col 66}{space 4}-.3685134{col 79}{space 3} .6101321
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.1926508{col 38}{space 2} .3530777{col 49}{space 1}   -0.55{col 58}{space 3}0.585{col 66}{space 4}-.8853846{col 79}{space 3} .5000829
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.8802522{col 38}{space 2} .6087531{col 49}{space 1}   -1.45{col 58}{space 3}0.148{col 66}{space 4}-2.074618{col 79}{space 3} .3141133
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0039469{col 38}{space 2} .0456327{col 49}{space 1}   -0.09{col 58}{space 3}0.931{col 66}{space 4}-.0934777{col 79}{space 3} .0855838
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0403838{col 38}{space 2} .1086932{col 49}{space 1}    0.37{col 58}{space 3}0.710{col 66}{space 4}-.1728708{col 79}{space 3} .2536385
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0114686{col 38}{space 2} .1007146{col 49}{space 1}   -0.11{col 58}{space 3}0.909{col 66}{space 4}-.2090693{col 79}{space 3} .1861322
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0085718{col 38}{space 2} .1951875{col 49}{space 1}    0.04{col 58}{space 3}0.965{col 66}{space 4}-.3743834{col 79}{space 3}  .391527
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} -.041164{col 38}{space 2} .1953477{col 49}{space 1}   -0.21{col 58}{space 3}0.833{col 66}{space 4}-.4244335{col 79}{space 3} .3421056
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0775893{col 38}{space 2} .1109812{col 49}{space 1}    0.70{col 58}{space 3}0.485{col 66}{space 4}-.1401545{col 79}{space 3}  .295333
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .3150458{col 38}{space 2} .0939294{col 49}{space 1}    3.35{col 58}{space 3}0.001{col 66}{space 4} .1307576{col 79}{space 3}  .499334
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1858382{col 38}{space 2} .1112281{col 49}{space 1}    1.67{col 58}{space 3}0.095{col 66}{space 4}-.0323899{col 79}{space 3} .4040663
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .1229162{col 38}{space 2} .1047249{col 49}{space 1}    1.17{col 58}{space 3}0.241{col 66}{space 4}-.0825528{col 79}{space 3} .3283851
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0238381{col 38}{space 2} .1065775{col 49}{space 1}   -0.22{col 58}{space 3}0.823{col 66}{space 4}-.2329418{col 79}{space 3} .1852656
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0993735{col 38}{space 2} .0976633{col 49}{space 1}    1.02{col 58}{space 3}0.309{col 66}{space 4}-.0922407{col 79}{space 3} .2909876
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .1498528{col 38}{space 2} .1284722{col 49}{space 1}    1.17{col 58}{space 3}0.244{col 66}{space 4} -.102208{col 79}{space 3} .4019137
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .1963685{col 38}{space 2} .1301854{col 49}{space 1}    1.51{col 58}{space 3}0.132{col 66}{space 4}-.0590535{col 79}{space 3} .4517905
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0976367{col 38}{space 2} .1367741{col 49}{space 1}    0.71{col 58}{space 3}0.475{col 66}{space 4}-.1707122{col 79}{space 3} .3659856
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0757069{col 38}{space 2} .1377128{col 49}{space 1}    0.55{col 58}{space 3}0.583{col 66}{space 4}-.1944838{col 79}{space 3} .3458975
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .2326628{col 38}{space 2} .1361355{col 49}{space 1}    1.71{col 58}{space 3}0.088{col 66}{space 4}-.0344332{col 79}{space 3} .4997587
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .3848637{col 38}{space 2} .1442523{col 49}{space 1}    2.67{col 58}{space 3}0.008{col 66}{space 4} .1018426{col 79}{space 3} .6678848
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 4.665011{col 38}{space 2} .4250171{col 49}{space 1}   10.98{col 58}{space 3}0.000{col 66}{space 4} 3.831133{col 79}{space 3} 5.498889
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.0294407
                 {txt}sigma_e {c |} {res} 1.1208034
                     {txt}rho {c |} {res} .76628092{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est10{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
.  esttab using "regression1b.tex", replace f  ///
>  b(2) se(2) ///
> keep (ATET)  ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must Adapt" "Oppose EU Integration" "Left-Right", pattern(1 0 1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1b.tex"'})

{com}.    
. esttab using "regression1bappendix.tex", replace f  ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of paying separate utility bill on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must Adapt" "Oppose EU Integration" "Left-Right", pattern(1 0 1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression1bappendix.tex"'})

{com}.   
.  
.  
.  
.  
.  *Same with other DVs by income quartile
.  est clear
{res}{txt}
{com}.  xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  GL ATET  i.oplcat   lninc i.employ renter  i.year if include==1  & incquart<3, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     4,408
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,004

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0771{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0397{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     Overall = {res}0.0575{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}22{txt},{res}1003{txt}){col 67}={col 70}{res}    10.21
{txt}corr(u_i, Xb) = {res}-0.0086{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,004} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      GL{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.2878922{col 38}{space 2} .1537701{col 49}{space 1}   -1.87{col 58}{space 3}0.061{col 66}{space 4}-.5896403{col 79}{space 3} .0138558
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.6606863{col 38}{space 2} .4208434{col 49}{space 1}   -1.57{col 58}{space 3}0.117{col 66}{space 4}-1.486521{col 79}{space 3} .1651481
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .2232002{col 38}{space 2} .5077662{col 49}{space 1}    0.44{col 58}{space 3}0.660{col 66}{space 4}-.7732056{col 79}{space 3} 1.219606
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} -.426112{col 38}{space 2} .4566273{col 49}{space 1}   -0.93{col 58}{space 3}0.351{col 66}{space 4}-1.322166{col 79}{space 3} .4699423
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .1388449{col 38}{space 2} .5211068{col 49}{space 1}    0.27{col 58}{space 3}0.790{col 66}{space 4}-.8837396{col 79}{space 3} 1.161429
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .7438513{col 38}{space 2} .6107333{col 49}{space 1}    1.22{col 58}{space 3}0.224{col 66}{space 4}-.4546101{col 79}{space 3} 1.942313
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .094313{col 38}{space 2} .0465489{col 49}{space 1}    2.03{col 58}{space 3}0.043{col 66}{space 4} .0029686{col 79}{space 3} .1856573
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .3459772{col 38}{space 2} .2140672{col 49}{space 1}    1.62{col 58}{space 3}0.106{col 66}{space 4}-.0740938{col 79}{space 3} .7660482
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .2177944{col 38}{space 2} .1341876{col 49}{space 1}    1.62{col 58}{space 3}0.105{col 66}{space 4}-.0455262{col 79}{space 3}  .481115
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .2103089{col 38}{space 2} .2647257{col 49}{space 1}    0.79{col 58}{space 3}0.427{col 66}{space 4}-.3091709{col 79}{space 3} .7297887
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1524004{col 38}{space 2} .2432466{col 49}{space 1}    0.63{col 58}{space 3}0.531{col 66}{space 4}-.3249302{col 79}{space 3}  .629731
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .3362262{col 38}{space 2} .1780217{col 49}{space 1}    1.89{col 58}{space 3}0.059{col 66}{space 4}-.0131115{col 79}{space 3} .6855639
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.1631917{col 38}{space 2} .1101811{col 49}{space 1}   -1.48{col 58}{space 3}0.139{col 66}{space 4}-.3794036{col 79}{space 3} .0530202
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2450822{col 38}{space 2}  .129191{col 49}{space 1}    1.90{col 58}{space 3}0.058{col 66}{space 4}-.0084333{col 79}{space 3} .4985978
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-1.017955{col 38}{space 2} .1364837{col 49}{space 1}   -7.46{col 58}{space 3}0.000{col 66}{space 4}-1.285782{col 79}{space 3} -.750129
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.8774583{col 38}{space 2} .1373772{col 49}{space 1}   -6.39{col 58}{space 3}0.000{col 66}{space 4}-1.147038{col 79}{space 3}-.6078786
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.3707949{col 38}{space 2} .1890442{col 49}{space 1}   -1.96{col 58}{space 3}0.050{col 66}{space 4}-.7417624{col 79}{space 3} .0001726
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.2983245{col 38}{space 2} .1918126{col 49}{space 1}   -1.56{col 58}{space 3}0.120{col 66}{space 4}-.6747245{col 79}{space 3} .0780756
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.1387298{col 38}{space 2} .1968629{col 49}{space 1}   -0.70{col 58}{space 3}0.481{col 66}{space 4}-.5250401{col 79}{space 3} .2475805
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.3453824{col 38}{space 2} .2052021{col 49}{space 1}   -1.68{col 58}{space 3}0.093{col 66}{space 4} -.748057{col 79}{space 3} .0572923
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.7108144{col 38}{space 2} .2040339{col 49}{space 1}   -3.48{col 58}{space 3}0.001{col 66}{space 4}-1.111197{col 79}{space 3}-.3104321
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.7535238{col 38}{space 2} .2060333{col 49}{space 1}   -3.66{col 58}{space 3}0.000{col 66}{space 4} -1.15783{col 79}{space 3}-.3492181
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 4.933505{col 38}{space 2} .5034228{col 49}{space 1}    9.80{col 58}{space 3}0.000{col 66}{space 4} 3.945622{col 79}{space 3} 5.921387
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.0241076
                 {txt}sigma_e {c |} {res}  1.356069
                     {txt}rho {c |} {res} .69020496{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Low"

{txt}added macro:
               e(CNTL) : "{res:Low}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg  GL ATET  i.oplcat   lninc i.employ renter  i.year if include==1  & incquart>2, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       927
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       340

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.1067{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0133{col 63}{txt}avg{col 67}={col 69}{res}       2.7
{txt}     Overall = {res}0.0055{col 63}{txt}max{col 67}={col 69}{res}        11

{col 49}{help j_robustsingular##|_new:F(18,339)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.6100{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:340} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      GL{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.3188811{col 38}{space 2} .3437632{col 49}{space 1}   -0.93{col 58}{space 3}0.354{col 66}{space 4}-.9950588{col 79}{space 3} .3572965
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} 2.300049{col 38}{space 2} .3176784{col 49}{space 1}    7.24{col 58}{space 3}0.000{col 66}{space 4}  1.67518{col 79}{space 3} 2.924918
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} 2.502868{col 38}{space 2} .6441764{col 49}{space 1}    3.89{col 58}{space 3}0.000{col 66}{space 4} 1.235782{col 79}{space 3} 3.769954
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} 1.050918{col 38}{space 2} .1709477{col 49}{space 1}    6.15{col 58}{space 3}0.000{col 66}{space 4} .7146665{col 79}{space 3}  1.38717
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-1.149023{col 38}{space 2} .7510111{col 49}{space 1}   -1.53{col 58}{space 3}0.127{col 66}{space 4}-2.626252{col 79}{space 3} .3282052
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .5590227{col 38}{space 2} .5517997{col 49}{space 1}    1.01{col 58}{space 3}0.312{col 66}{space 4}-.5263597{col 79}{space 3} 1.644405
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .2165858{col 38}{space 2} .6116046{col 49}{space 1}    0.35{col 58}{space 3}0.723{col 66}{space 4}-.9864322{col 79}{space 3} 1.419604
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-2.073803{col 38}{space 2} .5664631{col 49}{space 1}   -3.66{col 58}{space 3}0.000{col 66}{space 4}-3.188028{col 79}{space 3}-.9595779
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.4626293{col 38}{space 2} .6025043{col 49}{space 1}   -0.77{col 58}{space 3}0.443{col 66}{space 4}-1.647747{col 79}{space 3} .7224885
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.5352202{col 38}{space 2} .4801567{col 49}{space 1}   -1.11{col 58}{space 3}0.266{col 66}{space 4}-1.479682{col 79}{space 3} .4092414
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.7122255{col 38}{space 2} .3993876{col 49}{space 1}   -1.78{col 58}{space 3}0.075{col 66}{space 4}-1.497816{col 79}{space 3} .0733645
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0323514{col 38}{space 2} .3560824{col 49}{space 1}    0.09{col 58}{space 3}0.928{col 66}{space 4}-.6680578{col 79}{space 3} .7327607
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0840991{col 38}{space 2} .2326396{col 49}{space 1}   -0.36{col 58}{space 3}0.718{col 66}{space 4} -.541698{col 79}{space 3} .3734999
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5933288{col 38}{space 2} .3467606{col 49}{space 1}    1.71{col 58}{space 3}0.088{col 66}{space 4}-.0887445{col 79}{space 3} 1.275402
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.9705837{col 38}{space 2} .3191357{col 49}{space 1}   -3.04{col 58}{space 3}0.003{col 66}{space 4}-1.598319{col 79}{space 3}-.3428481
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.3558699{col 38}{space 2} .2936754{col 49}{space 1}   -1.21{col 58}{space 3}0.226{col 66}{space 4}-.9335253{col 79}{space 3} .2217856
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0949998{col 38}{space 2} .3954914{col 49}{space 1}    0.24{col 58}{space 3}0.810{col 66}{space 4}-.6829264{col 79}{space 3}  .872926
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .1904555{col 38}{space 2} .4285826{col 49}{space 1}    0.44{col 58}{space 3}0.657{col 66}{space 4}-.6525606{col 79}{space 3} 1.033472
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .2012517{col 38}{space 2} .4236465{col 49}{space 1}    0.48{col 58}{space 3}0.635{col 66}{space 4}-.6320552{col 79}{space 3} 1.034559
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0003685{col 38}{space 2} .4390707{col 49}{space 1}    0.00{col 58}{space 3}0.999{col 66}{space 4}-.8632776{col 79}{space 3} .8640146
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.2548664{col 38}{space 2} .4626778{col 49}{space 1}   -0.55{col 58}{space 3}0.582{col 66}{space 4}-1.164947{col 79}{space 3} .6552145
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.3919749{col 38}{space 2} .4839938{col 49}{space 1}   -0.81{col 58}{space 3}0.419{col 66}{space 4}-1.343984{col 79}{space 3} .5600343
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.202202{col 38}{space 2} 4.743345{col 49}{space 1}    0.68{col 58}{space 3}0.500{col 66}{space 4}-6.127893{col 79}{space 3}  12.5323
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.7862499
                 {txt}sigma_e {c |} {res} 1.3084749
                     {txt}rho {c |} {res} .81930837{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "High"

{txt}added macro:
               e(CNTL) : "{res:High}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  price1 ATET i.oplcat   lninc i.employ renter  i.year if include==1  & incquart<3, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,302
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,076

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0202{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0046{col 63}{txt}avg{col 67}={col 69}{res}       4.9
{txt}     Overall = {res}0.0021{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1075{txt}){col 67}={col 70}{res}     3.48
{txt}corr(u_i, Xb) = {res}-0.1640{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,076} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                  price1{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0415039{col 38}{space 2} .0263934{col 49}{space 1}    1.57{col 58}{space 3}0.116{col 66}{space 4}-.0102844{col 79}{space 3} .0932923
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .0676271{col 38}{space 2} .0625516{col 49}{space 1}    1.08{col 58}{space 3}0.280{col 66}{space 4}  -.05511{col 79}{space 3} .1903641
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0117154{col 38}{space 2} .0837085{col 49}{space 1}    0.14{col 58}{space 3}0.889{col 66}{space 4}-.1525352{col 79}{space 3}  .175966
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0010589{col 38}{space 2} .0753178{col 49}{space 1}   -0.01{col 58}{space 3}0.989{col 66}{space 4}-.1488454{col 79}{space 3} .1467276
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0621536{col 38}{space 2} .0835408{col 49}{space 1}    0.74{col 58}{space 3}0.457{col 66}{space 4}-.1017679{col 79}{space 3} .2260751
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0210263{col 38}{space 2} .0920011{col 49}{space 1}    0.23{col 58}{space 3}0.819{col 66}{space 4}-.1594958{col 79}{space 3} .2015484
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0078369{col 38}{space 2} .0085276{col 49}{space 1}    0.92{col 58}{space 3}0.358{col 66}{space 4}-.0088957{col 79}{space 3} .0245695
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0359323{col 38}{space 2} .0438079{col 49}{space 1}    0.82{col 58}{space 3}0.412{col 66}{space 4}-.0500264{col 79}{space 3}  .121891
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0478942{col 38}{space 2} .0251375{col 49}{space 1}    1.91{col 58}{space 3}0.057{col 66}{space 4}  -.00143{col 79}{space 3} .0972184
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0599954{col 38}{space 2} .0410778{col 49}{space 1}    1.46{col 58}{space 3}0.144{col 66}{space 4}-.0206064{col 79}{space 3} .1405971
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1529758{col 38}{space 2} .0502134{col 49}{space 1}    3.05{col 58}{space 3}0.002{col 66}{space 4} .0544484{col 79}{space 3} .2515032
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0578339{col 38}{space 2} .0293904{col 49}{space 1}    1.97{col 58}{space 3}0.049{col 66}{space 4} .0001649{col 79}{space 3} .1155029
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0014296{col 38}{space 2} .0267405{col 49}{space 1}   -0.05{col 58}{space 3}0.957{col 66}{space 4}-.0538991{col 79}{space 3} .0510399
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0435298{col 38}{space 2} .0245882{col 49}{space 1}    1.77{col 58}{space 3}0.077{col 66}{space 4}-.0047165{col 79}{space 3} .0917761
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0820165{col 38}{space 2} .0254692{col 49}{space 1}    3.22{col 58}{space 3}0.001{col 66}{space 4} .0320415{col 79}{space 3} .1319916
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0907813{col 38}{space 2} .0258675{col 49}{space 1}    3.51{col 58}{space 3}0.000{col 66}{space 4} .0400249{col 79}{space 3} .1415378
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .1015428{col 38}{space 2}  .025936{col 49}{space 1}    3.92{col 58}{space 3}0.000{col 66}{space 4} .0506518{col 79}{space 3} .1524338
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0001698{col 38}{space 2} .0329433{col 49}{space 1}    0.01{col 58}{space 3}0.996{col 66}{space 4}-.0644707{col 79}{space 3} .0648104
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0256278{col 38}{space 2} .0332267{col 49}{space 1}   -0.77{col 58}{space 3}0.441{col 66}{space 4}-.0908244{col 79}{space 3} .0395689
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0067384{col 38}{space 2} .0347019{col 49}{space 1}   -0.19{col 58}{space 3}0.846{col 66}{space 4}-.0748295{col 79}{space 3} .0613527
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0625984{col 38}{space 2} .0364917{col 49}{space 1}    1.72{col 58}{space 3}0.087{col 66}{space 4}-.0090046{col 79}{space 3} .1342015
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0125288{col 38}{space 2} .0363801{col 49}{space 1}    0.34{col 58}{space 3}0.731{col 66}{space 4}-.0588553{col 79}{space 3}  .083913
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0333954{col 38}{space 2} .0358254{col 49}{space 1}   -0.93{col 58}{space 3}0.351{col 66}{space 4} -.103691{col 79}{space 3} .0369001
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .0291254{col 38}{space 2} .0850416{col 49}{space 1}    0.34{col 58}{space 3}0.732{col 66}{space 4} -.137741{col 79}{space 3} .1959918
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .31547687
                 {txt}sigma_e {c |} {res} .31583945
                     {txt}rho {c |} {res} .49942568{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Low"

{txt}added macro:
               e(CNTL) : "{res:Low}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  price1 ATET i.oplcat   lninc i.employ renter  i.year if include==1  & incquart>2, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,067
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       370

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0326{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0013{col 63}{txt}avg{col 67}={col 69}{res}       2.9
{txt}     Overall = {res}0.0080{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(22,369)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.4820{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:370} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                  price1{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0004611{col 38}{space 2} .0370527{col 49}{space 1}   -0.01{col 58}{space 3}0.990{col 66}{space 4} -.073322{col 79}{space 3} .0723998
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.2657639{col 38}{space 2} .1391691{col 49}{space 1}   -1.91{col 58}{space 3}0.057{col 66}{space 4}-.5394279{col 79}{space 3} .0079001
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.3886932{col 38}{space 2} .2889552{col 49}{space 1}   -1.35{col 58}{space 3}0.179{col 66}{space 4}-.9568987{col 79}{space 3} .1795122
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.2016246{col 38}{space 2}  .129691{col 49}{space 1}   -1.55{col 58}{space 3}0.121{col 66}{space 4}-.4566507{col 79}{space 3} .0534015
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0973622{col 38}{space 2} .1658245{col 49}{space 1}   -0.59{col 58}{space 3}0.557{col 66}{space 4}-.4234417{col 79}{space 3} .2287172
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.1342014{col 38}{space 2}  .172152{col 49}{space 1}   -0.78{col 58}{space 3}0.436{col 66}{space 4}-.4727235{col 79}{space 3} .2043206
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0576114{col 38}{space 2} .1416439{col 49}{space 1}    0.41{col 58}{space 3}0.684{col 66}{space 4}-.2209191{col 79}{space 3} .3361419
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.5518636{col 38}{space 2} .3759396{col 49}{space 1}   -1.47{col 58}{space 3}0.143{col 66}{space 4}-1.291116{col 79}{space 3} .1873891
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0924247{col 38}{space 2} .1859417{col 49}{space 1}    0.50{col 58}{space 3}0.619{col 66}{space 4}-.2732135{col 79}{space 3}  .458063
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0769745{col 38}{space 2} .1101859{col 49}{space 1}    0.70{col 58}{space 3}0.485{col 66}{space 4}-.1396966{col 79}{space 3} .2936456
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .3296922{col 38}{space 2} .1340963{col 49}{space 1}    2.46{col 58}{space 3}0.014{col 66}{space 4} .0660034{col 79}{space 3} .5933811
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}  .120919{col 38}{space 2} .0588422{col 49}{space 1}    2.05{col 58}{space 3}0.041{col 66}{space 4}  .005211{col 79}{space 3} .2366271
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0171995{col 38}{space 2} .0560338{col 49}{space 1}    0.31{col 58}{space 3}0.759{col 66}{space 4} -.092986{col 79}{space 3} .1273851
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}   .02222{col 38}{space 2} .0593603{col 49}{space 1}    0.37{col 58}{space 3}0.708{col 66}{space 4}-.0945069{col 79}{space 3} .1389468
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0855668{col 38}{space 2} .0588688{col 49}{space 1}    1.45{col 58}{space 3}0.147{col 66}{space 4}-.0301935{col 79}{space 3} .2013271
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0580509{col 38}{space 2} .0634487{col 49}{space 1}    0.91{col 58}{space 3}0.361{col 66}{space 4}-.0667154{col 79}{space 3} .1828172
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0537618{col 38}{space 2} .0649483{col 49}{space 1}    0.83{col 58}{space 3}0.408{col 66}{space 4}-.0739533{col 79}{space 3}  .181477
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  .049303{col 38}{space 2} .0597256{col 49}{space 1}    0.83{col 58}{space 3}0.410{col 66}{space 4}-.0681424{col 79}{space 3} .1667483
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0329853{col 38}{space 2} .0580802{col 49}{space 1}   -0.57{col 58}{space 3}0.570{col 66}{space 4} -.147195{col 79}{space 3} .0812245
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0128131{col 38}{space 2}  .065593{col 49}{space 1}   -0.20{col 58}{space 3}0.845{col 66}{space 4}-.1417962{col 79}{space 3} .1161699
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0324657{col 38}{space 2} .0755956{col 49}{space 1}    0.43{col 58}{space 3}0.668{col 66}{space 4}-.1161866{col 79}{space 3} .1811181
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0066667{col 38}{space 2} .0794161{col 49}{space 1}    0.08{col 58}{space 3}0.933{col 66}{space 4}-.1494982{col 79}{space 3} .1628316
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0379718{col 38}{space 2} .0765249{col 49}{space 1}   -0.50{col 58}{space 3}0.620{col 66}{space 4}-.1884514{col 79}{space 3} .1125077
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-.2008029{col 38}{space 2} 1.103121{col 49}{space 1}   -0.18{col 58}{space 3}0.856{col 66}{space 4}-2.369995{col 79}{space 3} 1.968389
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .34861763
                 {txt}sigma_e {c |} {res} .28002568
                     {txt}rho {c |} {res} .60782738{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "High"

{txt}added macro:
               e(CNTL) : "{res:High}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  immigration ATET  i.oplcat   lninc i.employ  renter i.year if include==1 & incquart<3, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     5,142
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,069

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0146{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0254{col 63}{txt}avg{col 67}={col 69}{res}       4.8
{txt}     Overall = {res}0.0233{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1068{txt}){col 67}={col 70}{res}     2.42
{txt}corr(u_i, Xb) = {res}0.0718{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0002

{txt}{ralign 90:(Std. err. adjusted for {res:1,069} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             immigration{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0780877{col 38}{space 2} .0547489{col 49}{space 1}    1.43{col 58}{space 3}0.154{col 66}{space 4}-.0293399{col 79}{space 3} .1855153
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0795441{col 38}{space 2} .1194468{col 49}{space 1}   -0.67{col 58}{space 3}0.506{col 66}{space 4}-.3139211{col 79}{space 3} .1548329
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.1262813{col 38}{space 2} .2567424{col 49}{space 1}   -0.49{col 58}{space 3}0.623{col 66}{space 4}-.6300581{col 79}{space 3} .3774955
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.1093657{col 38}{space 2} .1832894{col 49}{space 1}   -0.60{col 58}{space 3}0.551{col 66}{space 4}-.4690139{col 79}{space 3} .2502824
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.1513651{col 38}{space 2} .2363209{col 49}{space 1}   -0.64{col 58}{space 3}0.522{col 66}{space 4} -.615071{col 79}{space 3} .3123408
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.2640575{col 38}{space 2} .2817144{col 49}{space 1}   -0.94{col 58}{space 3}0.349{col 66}{space 4}-.8168341{col 79}{space 3}  .288719
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0032135{col 38}{space 2} .0188291{col 49}{space 1}   -0.17{col 58}{space 3}0.865{col 66}{space 4}-.0401598{col 79}{space 3} .0337327
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .1524285{col 38}{space 2} .0886381{col 49}{space 1}    1.72{col 58}{space 3}0.086{col 66}{space 4}-.0214961{col 79}{space 3} .3263532
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0153059{col 38}{space 2} .0552204{col 49}{space 1}   -0.28{col 58}{space 3}0.782{col 66}{space 4}-.1236586{col 79}{space 3} .0930468
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}  .051989{col 38}{space 2} .1009382{col 49}{space 1}    0.52{col 58}{space 3}0.607{col 66}{space 4}-.1460708{col 79}{space 3} .2500488
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0744962{col 38}{space 2} .0862104{col 49}{space 1}   -0.86{col 58}{space 3}0.388{col 66}{space 4}-.2436571{col 79}{space 3} .0946648
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0115517{col 38}{space 2}  .061428{col 49}{space 1}   -0.19{col 58}{space 3}0.851{col 66}{space 4} -.132085{col 79}{space 3} .1089815
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0229377{col 38}{space 2} .0541168{col 49}{space 1}   -0.42{col 58}{space 3}0.672{col 66}{space 4} -.129125{col 79}{space 3} .0832495
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0594324{col 38}{space 2} .0567916{col 49}{space 1}   -1.05{col 58}{space 3}0.296{col 66}{space 4}-.1708682{col 79}{space 3} .0520035
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0654137{col 38}{space 2}  .055082{col 49}{space 1}   -1.19{col 58}{space 3}0.235{col 66}{space 4}-.1734948{col 79}{space 3} .0426675
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0234599{col 38}{space 2} .0547859{col 49}{space 1}   -0.43{col 58}{space 3}0.669{col 66}{space 4}-.1309601{col 79}{space 3} .0840403
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0414025{col 38}{space 2} .0562579{col 49}{space 1}   -0.74{col 58}{space 3}0.462{col 66}{space 4}-.1517911{col 79}{space 3} .0689861
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0939827{col 38}{space 2} .0696703{col 49}{space 1}   -1.35{col 58}{space 3}0.178{col 66}{space 4} -.230689{col 79}{space 3} .0427236
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0333979{col 38}{space 2}  .070886{col 49}{space 1}    0.47{col 58}{space 3}0.638{col 66}{space 4}-.1056936{col 79}{space 3} .1724895
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.1876377{col 38}{space 2} .0734425{col 49}{space 1}   -2.55{col 58}{space 3}0.011{col 66}{space 4}-.3317457{col 79}{space 3}-.0435296
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0757073{col 38}{space 2}  .075631{col 49}{space 1}   -1.00{col 58}{space 3}0.317{col 66}{space 4}-.2241095{col 79}{space 3} .0726949
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} -.168502{col 38}{space 2} .0782394{col 49}{space 1}   -2.15{col 58}{space 3}0.031{col 66}{space 4}-.3220223{col 79}{space 3}-.0149817
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.2252686{col 38}{space 2} .0797395{col 49}{space 1}   -2.83{col 58}{space 3}0.005{col 66}{space 4}-.3817325{col 79}{space 3}-.0688046
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.880474{col 38}{space 2} .2095278{col 49}{space 1}   18.52{col 58}{space 3}0.000{col 66}{space 4} 3.469341{col 79}{space 3} 4.291607
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .89393798
                 {txt}sigma_e {c |} {res}  .6154379
                     {txt}rho {c |} {res} .67843843{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Low"

{txt}added macro:
               e(CNTL) : "{res:Low}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  immigration ATET  i.oplcat   lninc i.employ  renter i.year if include==1  & incquart>2, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,050
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       368

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0475{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0160{col 63}{txt}avg{col 67}={col 69}{res}       2.9
{txt}     Overall = {res}0.0167{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(22,367)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.3004{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:368} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             immigration{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .1362896{col 38}{space 2} .1368347{col 49}{space 1}    1.00{col 58}{space 3}0.320{col 66}{space 4}-.1327889{col 79}{space 3} .4053681
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}  .667932{col 38}{space 2} .2223247{col 49}{space 1}    3.00{col 58}{space 3}0.003{col 66}{space 4} .2307418{col 79}{space 3} 1.105122
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.3382703{col 38}{space 2}  .217784{col 49}{space 1}   -1.55{col 58}{space 3}0.121{col 66}{space 4}-.7665314{col 79}{space 3} .0899908
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.2637707{col 38}{space 2} .1965274{col 49}{space 1}   -1.34{col 58}{space 3}0.180{col 66}{space 4}-.6502319{col 79}{space 3} .1226905
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} -.069452{col 38}{space 2} .2377039{col 49}{space 1}   -0.29{col 58}{space 3}0.770{col 66}{space 4}-.5368846{col 79}{space 3} .3979807
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .4103799{col 38}{space 2}  .240581{col 49}{space 1}    1.71{col 58}{space 3}0.089{col 66}{space 4}-.0627104{col 79}{space 3} .8834702
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0137308{col 38}{space 2} .1770326{col 49}{space 1}    0.08{col 58}{space 3}0.938{col 66}{space 4}-.3343947{col 79}{space 3} .3618564
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .9581592{col 38}{space 2}  .740539{col 49}{space 1}    1.29{col 58}{space 3}0.197{col 66}{space 4} -.498073{col 79}{space 3} 2.414391
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0173047{col 38}{space 2} .1485713{col 49}{space 1}    0.12{col 58}{space 3}0.907{col 66}{space 4}-.2748532{col 79}{space 3} .3094625
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .4867665{col 38}{space 2} .3094435{col 49}{space 1}    1.57{col 58}{space 3}0.117{col 66}{space 4}-.1217383{col 79}{space 3} 1.095271
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.3033941{col 38}{space 2} .2541472{col 49}{space 1}   -1.19{col 58}{space 3}0.233{col 66}{space 4}-.8031616{col 79}{space 3} .1963734
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0365503{col 38}{space 2} .1306185{col 49}{space 1}    0.28{col 58}{space 3}0.780{col 66}{space 4}-.2203044{col 79}{space 3}  .293405
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .4159371{col 38}{space 2} .1461626{col 49}{space 1}    2.85{col 58}{space 3}0.005{col 66}{space 4} .1285158{col 79}{space 3} .7033585
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1187792{col 38}{space 2} .1506708{col 49}{space 1}    0.79{col 58}{space 3}0.431{col 66}{space 4}-.1775073{col 79}{space 3} .4150656
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0776317{col 38}{space 2} .1455704{col 49}{space 1}    0.53{col 58}{space 3}0.594{col 66}{space 4}-.2086251{col 79}{space 3} .3638884
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}  .172275{col 38}{space 2} .1379319{col 49}{space 1}    1.25{col 58}{space 3}0.212{col 66}{space 4}-.0989611{col 79}{space 3} .4435111
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .1861291{col 38}{space 2} .1353636{col 49}{space 1}    1.38{col 58}{space 3}0.170{col 66}{space 4}-.0800565{col 79}{space 3} .4523146
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  .055227{col 38}{space 2} .1576368{col 49}{space 1}    0.35{col 58}{space 3}0.726{col 66}{space 4}-.2547577{col 79}{space 3} .3652117
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .1059908{col 38}{space 2} .1622205{col 49}{space 1}    0.65{col 58}{space 3}0.514{col 66}{space 4}-.2130075{col 79}{space 3}  .424989
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0191482{col 38}{space 2} .1771004{col 49}{space 1}   -0.11{col 58}{space 3}0.914{col 66}{space 4}-.3674072{col 79}{space 3} .3291107
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0034608{col 38}{space 2} .1679867{col 49}{space 1}    0.02{col 58}{space 3}0.984{col 66}{space 4}-.3268764{col 79}{space 3} .3337981
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .1898614{col 38}{space 2} .1906964{col 49}{space 1}    1.00{col 58}{space 3}0.320{col 66}{space 4}-.1851334{col 79}{space 3} .5648562
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0206427{col 38}{space 2} .1942417{col 49}{space 1}   -0.11{col 58}{space 3}0.915{col 66}{space 4}-.4026091{col 79}{space 3} .3613236
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.148262{col 38}{space 2} 1.426552{col 49}{space 1}    2.21{col 58}{space 3}0.028{col 66}{space 4} .3430196{col 79}{space 3} 5.953504
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .95722053
                 {txt}sigma_e {c |} {res} .58246127
                     {txt}rho {c |} {res} .72978701{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "High"

{txt}added macro:
               e(CNTL) : "{res:High}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  EU ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & incquart<3, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     4,879
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,049

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0611{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0019{col 63}{txt}avg{col 67}={col 69}{res}       4.7
{txt}     Overall = {res}0.0055{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1048{txt}){col 67}={col 70}{res}     7.26
{txt}corr(u_i, Xb) = {res}-0.1452{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,049} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      EU{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0251904{col 38}{space 2} .0691994{col 49}{space 1}   -0.36{col 58}{space 3}0.716{col 66}{space 4}-.1609755{col 79}{space 3} .1105947
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0356775{col 38}{space 2} .1506999{col 49}{space 1}   -0.24{col 58}{space 3}0.813{col 66}{space 4}-.3313853{col 79}{space 3} .2600304
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1828449{col 38}{space 2} .1751866{col 49}{space 1}    1.04{col 58}{space 3}0.297{col 66}{space 4}-.1609116{col 79}{space 3} .5266014
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0225632{col 38}{space 2} .1409849{col 49}{space 1}    0.16{col 58}{space 3}0.873{col 66}{space 4}-.2540816{col 79}{space 3}  .299208
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} -.039582{col 38}{space 2} .1973836{col 49}{space 1}   -0.20{col 58}{space 3}0.841{col 66}{space 4} -.426894{col 79}{space 3}   .34773
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .1584231{col 38}{space 2} .2392186{col 49}{space 1}    0.66{col 58}{space 3}0.508{col 66}{space 4}-.3109788{col 79}{space 3} .6278251
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0176116{col 38}{space 2} .0216336{col 49}{space 1}   -0.81{col 58}{space 3}0.416{col 66}{space 4}-.0600618{col 79}{space 3} .0248385
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.1840365{col 38}{space 2} .1314311{col 49}{space 1}   -1.40{col 58}{space 3}0.162{col 66}{space 4}-.4419345{col 79}{space 3} .0738615
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0199425{col 38}{space 2} .0792768{col 49}{space 1}    0.25{col 58}{space 3}0.801{col 66}{space 4}-.1356168{col 79}{space 3} .1755019
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0044665{col 38}{space 2} .1393407{col 49}{space 1}    0.03{col 58}{space 3}0.974{col 66}{space 4} -.268952{col 79}{space 3}  .277885
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} -.292964{col 38}{space 2} .1474119{col 49}{space 1}   -1.99{col 58}{space 3}0.047{col 66}{space 4}-.5822202{col 79}{space 3}-.0037079
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0051592{col 38}{space 2} .0868762{col 49}{space 1}   -0.06{col 58}{space 3}0.953{col 66}{space 4}-.1756303{col 79}{space 3} .1653119
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0439863{col 38}{space 2} .0658427{col 49}{space 1}    0.67{col 58}{space 3}0.504{col 66}{space 4}-.0852123{col 79}{space 3}  .173185
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}   .54603{col 38}{space 2} .0782487{col 49}{space 1}    6.98{col 58}{space 3}0.000{col 66}{space 4} .3924882{col 79}{space 3} .6995719
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .4581885{col 38}{space 2} .0793459{col 49}{space 1}    5.77{col 58}{space 3}0.000{col 66}{space 4} .3024935{col 79}{space 3} .6138834
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .6411354{col 38}{space 2} .0731965{col 49}{space 1}    8.76{col 58}{space 3}0.000{col 66}{space 4}  .497507{col 79}{space 3} .7847638
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .6776717{col 38}{space 2} .0757443{col 49}{space 1}    8.95{col 58}{space 3}0.000{col 66}{space 4} .5290438{col 79}{space 3} .8262995
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .6005154{col 38}{space 2}  .091646{col 49}{space 1}    6.55{col 58}{space 3}0.000{col 66}{space 4} .4206848{col 79}{space 3} .7803459
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .6594248{col 38}{space 2} .0976568{col 49}{space 1}    6.75{col 58}{space 3}0.000{col 66}{space 4} .4677997{col 79}{space 3} .8510499
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .4823449{col 38}{space 2} .0979313{col 49}{space 1}    4.93{col 58}{space 3}0.000{col 66}{space 4} .2901812{col 79}{space 3} .6745086
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .3801203{col 38}{space 2} .1037017{col 49}{space 1}    3.67{col 58}{space 3}0.000{col 66}{space 4} .1766338{col 79}{space 3} .5836069
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .4901965{col 38}{space 2} .1052093{col 49}{space 1}    4.66{col 58}{space 3}0.000{col 66}{space 4} .2837517{col 79}{space 3} .6966414
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .4159913{col 38}{space 2} .1026044{col 49}{space 1}    4.05{col 58}{space 3}0.000{col 66}{space 4} .2146578{col 79}{space 3} .6173248
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.366448{col 38}{space 2} .2139972{col 49}{space 1}   15.73{col 58}{space 3}0.000{col 66}{space 4} 2.946536{col 79}{space 3}  3.78636
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.0352907
                 {txt}sigma_e {c |} {res} .73965566
                     {txt}rho {c |} {res} .66206397{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Low"

{txt}added macro:
               e(CNTL) : "{res:Low}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  EU ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & incquart>2, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,000
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       350

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0489{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0704{col 63}{txt}avg{col 67}={col 69}{res}       2.9
{txt}     Overall = {res}0.0864{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(22,349)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.3777{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:350} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      EU{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} -.098426{col 38}{space 2} .1346958{col 49}{space 1}   -0.73{col 58}{space 3}0.465{col 66}{space 4}-.3633436{col 79}{space 3} .1664916
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .9550891{col 38}{space 2} .6204275{col 49}{space 1}    1.54{col 58}{space 3}0.125{col 66}{space 4}-.2651581{col 79}{space 3} 2.175336
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1329616{col 38}{space 2} .8602891{col 49}{space 1}    0.15{col 58}{space 3}0.877{col 66}{space 4}-1.559042{col 79}{space 3} 1.824965
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .8034582{col 38}{space 2} .6070449{col 49}{space 1}    1.32{col 58}{space 3}0.187{col 66}{space 4}-.3904683{col 79}{space 3} 1.997385
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.8249182{col 38}{space 2} .8930414{col 49}{space 1}   -0.92{col 58}{space 3}0.356{col 66}{space 4}-2.581338{col 79}{space 3} .9315019
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.5234825{col 38}{space 2} .8423403{col 49}{space 1}   -0.62{col 58}{space 3}0.535{col 66}{space 4}-2.180184{col 79}{space 3} 1.133219
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.2600196{col 38}{space 2} .3214004{col 49}{space 1}   -0.81{col 58}{space 3}0.419{col 66}{space 4}-.8921451{col 79}{space 3} .3721058
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}  .153219{col 38}{space 2} .1258951{col 49}{space 1}    1.22{col 58}{space 3}0.224{col 66}{space 4}-.0943895{col 79}{space 3} .4008276
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .1811561{col 38}{space 2} .1963996{col 49}{space 1}    0.92{col 58}{space 3}0.357{col 66}{space 4}-.2051195{col 79}{space 3} .5674317
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.1703229{col 38}{space 2} .1973045{col 49}{space 1}   -0.86{col 58}{space 3}0.389{col 66}{space 4}-.5583783{col 79}{space 3} .2177325
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-1.029985{col 38}{space 2} .6555268{col 49}{space 1}   -1.57{col 58}{space 3}0.117{col 66}{space 4}-2.319265{col 79}{space 3} .2592947
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.2537291{col 38}{space 2} .1479716{col 49}{space 1}   -1.71{col 58}{space 3}0.087{col 66}{space 4}-.5447573{col 79}{space 3} .0372991
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0088733{col 38}{space 2} .1862121{col 49}{space 1}    0.05{col 58}{space 3}0.962{col 66}{space 4}-.3573658{col 79}{space 3} .3751124
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .3239252{col 38}{space 2} .1770372{col 49}{space 1}    1.83{col 58}{space 3}0.068{col 66}{space 4}-.0242689{col 79}{space 3} .6721192
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .2625143{col 38}{space 2} .2053814{col 49}{space 1}    1.28{col 58}{space 3}0.202{col 66}{space 4}-.1414268{col 79}{space 3} .6664554
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}   .32323{col 38}{space 2} .1908014{col 49}{space 1}    1.69{col 58}{space 3}0.091{col 66}{space 4}-.0520352{col 79}{space 3} .6984952
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .3984525{col 38}{space 2} .1804229{col 49}{space 1}    2.21{col 58}{space 3}0.028{col 66}{space 4} .0435996{col 79}{space 3} .7533054
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .5629156{col 38}{space 2} .2067607{col 49}{space 1}    2.72{col 58}{space 3}0.007{col 66}{space 4} .1562619{col 79}{space 3} .9695692
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .4556246{col 38}{space 2} .2251651{col 49}{space 1}    2.02{col 58}{space 3}0.044{col 66}{space 4} .0127733{col 79}{space 3} .8984759
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .6615832{col 38}{space 2} .2114103{col 49}{space 1}    3.13{col 58}{space 3}0.002{col 66}{space 4} .2457848{col 79}{space 3} 1.077382
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .3995392{col 38}{space 2} .2268982{col 49}{space 1}    1.76{col 58}{space 3}0.079{col 66}{space 4}-.0467206{col 79}{space 3}  .845799
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .4148455{col 38}{space 2} .2541382{col 49}{space 1}    1.63{col 58}{space 3}0.104{col 66}{space 4}-.0849897{col 79}{space 3} .9146807
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .4123978{col 38}{space 2} .2332602{col 49}{space 1}    1.77{col 58}{space 3}0.078{col 66}{space 4}-.0463748{col 79}{space 3} .8711704
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.326374{col 38}{space 2} 2.543144{col 49}{space 1}    2.09{col 58}{space 3}0.037{col 66}{space 4}  .324558{col 79}{space 3} 10.32819
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.1289075
                 {txt}sigma_e {c |} {res} .72171246
                     {txt}rho {c |} {res} .70987101{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "High"

{txt}added macro:
               e(CNTL) : "{res:High}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  leftright ATET i.oplcat   lninc i.employ renter  i.year if include==1  & incquart<3, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     4,588
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,007

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0109{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0020{col 63}{txt}avg{col 67}={col 69}{res}       4.6
{txt}     Overall = {res}0.0095{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}23{txt},{res}1006{txt}){col 67}={col 70}{res}     1.70
{txt}corr(u_i, Xb) = {res}0.0179{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0211

{txt}{ralign 90:(Std. err. adjusted for {res:1,007} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}               leftright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0006975{col 38}{space 2} .0990577{col 49}{space 1}   -0.01{col 58}{space 3}0.994{col 66}{space 4} -.195081{col 79}{space 3} .1936859
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0237804{col 38}{space 2} .3026132{col 49}{space 1}   -0.08{col 58}{space 3}0.937{col 66}{space 4}-.6176058{col 79}{space 3}  .570045
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.1294061{col 38}{space 2} .3009071{col 49}{space 1}   -0.43{col 58}{space 3}0.667{col 66}{space 4}-.7198836{col 79}{space 3} .4610714
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .2082297{col 38}{space 2}   .24278{col 49}{space 1}    0.86{col 58}{space 3}0.391{col 66}{space 4}-.2681836{col 79}{space 3} .6846429
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0679608{col 38}{space 2} .3064827{col 49}{space 1}    0.22{col 58}{space 3}0.825{col 66}{space 4}-.5334578{col 79}{space 3} .6693794
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.3744691{col 38}{space 2} .5582142{col 49}{space 1}   -0.67{col 58}{space 3}0.502{col 66}{space 4}-1.469867{col 79}{space 3} .7209285
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0033794{col 38}{space 2} .0509141{col 49}{space 1}   -0.07{col 58}{space 3}0.947{col 66}{space 4}-.1032894{col 79}{space 3} .0965307
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0178339{col 38}{space 2} .1245538{col 49}{space 1}   -0.14{col 58}{space 3}0.886{col 66}{space 4}-.2622489{col 79}{space 3} .2265811
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} -.031229{col 38}{space 2}  .114215{col 49}{space 1}   -0.27{col 58}{space 3}0.785{col 66}{space 4}-.2553559{col 79}{space 3} .1928979
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0634941{col 38}{space 2} .2323032{col 49}{space 1}    0.27{col 58}{space 3}0.785{col 66}{space 4}-.3923603{col 79}{space 3} .5193484
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0738802{col 38}{space 2} .2011402{col 49}{space 1}   -0.37{col 58}{space 3}0.713{col 66}{space 4}-.4685826{col 79}{space 3} .3208221
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0021103{col 38}{space 2} .1320776{col 49}{space 1}    0.02{col 58}{space 3}0.987{col 66}{space 4} -.257069{col 79}{space 3} .2612895
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .2976646{col 38}{space 2} .1023535{col 49}{space 1}    2.91{col 58}{space 3}0.004{col 66}{space 4} .0968139{col 79}{space 3} .4985153
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2145415{col 38}{space 2} .1232899{col 49}{space 1}    1.74{col 58}{space 3}0.082{col 66}{space 4}-.0273932{col 79}{space 3} .4564763
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}  .183682{col 38}{space 2} .1183177{col 49}{space 1}    1.55{col 58}{space 3}0.121{col 66}{space 4}-.0484957{col 79}{space 3} .4158598
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0094839{col 38}{space 2} .1186432{col 49}{space 1}    0.08{col 58}{space 3}0.936{col 66}{space 4}-.2233325{col 79}{space 3} .2423003
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .1605576{col 38}{space 2} .1087573{col 49}{space 1}    1.48{col 58}{space 3}0.140{col 66}{space 4}-.0528595{col 79}{space 3} .3739747
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .1848602{col 38}{space 2} .1433475{col 49}{space 1}    1.29{col 58}{space 3}0.197{col 66}{space 4}-.0964342{col 79}{space 3} .4661546
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .2053036{col 38}{space 2} .1467285{col 49}{space 1}    1.40{col 58}{space 3}0.162{col 66}{space 4}-.0826253{col 79}{space 3} .4932325
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0937058{col 38}{space 2} .1533374{col 49}{space 1}    0.61{col 58}{space 3}0.541{col 66}{space 4} -.207192{col 79}{space 3} .3946035
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .1039036{col 38}{space 2} .1537535{col 49}{space 1}    0.68{col 58}{space 3}0.499{col 66}{space 4}-.1978107{col 79}{space 3}  .405618
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .2853055{col 38}{space 2} .1514679{col 49}{space 1}    1.88{col 58}{space 3}0.060{col 66}{space 4}-.0119238{col 79}{space 3} .5825348
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .4374206{col 38}{space 2} .1587972{col 49}{space 1}    2.75{col 58}{space 3}0.006{col 66}{space 4} .1258089{col 79}{space 3} .7490323
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 4.445218{col 38}{space 2} .4247199{col 49}{space 1}   10.47{col 58}{space 3}0.000{col 66}{space 4} 3.611779{col 79}{space 3} 5.278656
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res}  2.021399
                 {txt}sigma_e {c |} {res} 1.1370054
                     {txt}rho {c |} {res} .75965403{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est9{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Low"

{txt}added macro:
               e(CNTL) : "{res:Low}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  leftright ATET i.oplcat   lninc i.employ renter  i.year if include==1  & incquart>2, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       965
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       337

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0403{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0048{col 63}{txt}avg{col 67}={col 69}{res}       2.9
{txt}     Overall = {res}0.0315{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(22,336)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1535{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:337} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}               leftright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2945021{col 38}{space 2} .2165731{col 49}{space 1}    1.36{col 58}{space 3}0.175{col 66}{space 4}-.1315078{col 79}{space 3}  .720512
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-1.030313{col 38}{space 2}  .291733{col 49}{space 1}   -3.53{col 58}{space 3}0.000{col 66}{space 4}-1.604166{col 79}{space 3}-.4564594
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.1173384{col 38}{space 2} .3372741{col 49}{space 1}   -0.35{col 58}{space 3}0.728{col 66}{space 4}-.7807731{col 79}{space 3} .5460964
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .6252186{col 38}{space 2} .2243683{col 49}{space 1}    2.79{col 58}{space 3}0.006{col 66}{space 4} .1838751{col 79}{space 3} 1.066562
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .5968873{col 38}{space 2} .9204389{col 49}{space 1}    0.65{col 58}{space 3}0.517{col 66}{space 4}-1.213662{col 79}{space 3} 2.407436
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.3042426{col 38}{space 2}  .351497{col 49}{space 1}   -0.87{col 58}{space 3}0.387{col 66}{space 4}-.9956546{col 79}{space 3} .3871694
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.7089843{col 38}{space 2} .3623479{col 49}{space 1}   -1.96{col 58}{space 3}0.051{col 66}{space 4}-1.421741{col 79}{space 3}  .003772
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}  .106912{col 38}{space 2} .1372444{col 49}{space 1}    0.78{col 58}{space 3}0.437{col 66}{space 4}-.1630546{col 79}{space 3} .3768786
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .2151043{col 38}{space 2} .3012167{col 49}{space 1}    0.71{col 58}{space 3}0.476{col 66}{space 4}-.3774038{col 79}{space 3} .8076124
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0819586{col 38}{space 2} .4224508{col 49}{space 1}    0.19{col 58}{space 3}0.846{col 66}{space 4}-.7490229{col 79}{space 3} .9129402
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}  .010464{col 38}{space 2} .2245217{col 49}{space 1}    0.05{col 58}{space 3}0.963{col 66}{space 4}-.4311813{col 79}{space 3} .4521092
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1352274{col 38}{space 2} .2295701{col 49}{space 1}    0.59{col 58}{space 3}0.556{col 66}{space 4}-.3163483{col 79}{space 3} .5868031
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .2906884{col 38}{space 2} .2493661{col 49}{space 1}    1.17{col 58}{space 3}0.245{col 66}{space 4} -.199827{col 79}{space 3} .7812038
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1221804{col 38}{space 2} .2702879{col 49}{space 1}    0.45{col 58}{space 3}0.652{col 66}{space 4}-.4094894{col 79}{space 3} .6538501
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} -.102138{col 38}{space 2} .2227296{col 49}{space 1}   -0.46{col 58}{space 3}0.647{col 66}{space 4}-.5402582{col 79}{space 3} .3359821
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.1106163{col 38}{space 2} .2329337{col 49}{space 1}   -0.47{col 58}{space 3}0.635{col 66}{space 4}-.5688084{col 79}{space 3} .3475757
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} -.098893{col 38}{space 2} .2220479{col 49}{space 1}   -0.45{col 58}{space 3}0.656{col 66}{space 4}-.5356721{col 79}{space 3} .3378861
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.1750598{col 38}{space 2} .2690995{col 49}{space 1}   -0.65{col 58}{space 3}0.516{col 66}{space 4}-.7043917{col 79}{space 3} .3542721
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0444167{col 38}{space 2}  .275387{col 49}{space 1}   -0.16{col 58}{space 3}0.872{col 66}{space 4}-.5861165{col 79}{space 3} .4972831
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0132785{col 38}{space 2} .3098229{col 49}{space 1}   -0.04{col 58}{space 3}0.966{col 66}{space 4}-.6227155{col 79}{space 3} .5961585
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.1656645{col 38}{space 2} .2720009{col 49}{space 1}   -0.61{col 58}{space 3}0.543{col 66}{space 4}-.7007036{col 79}{space 3} .3693747
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0550262{col 38}{space 2} .3004687{col 49}{space 1}   -0.18{col 58}{space 3}0.855{col 66}{space 4} -.646063{col 79}{space 3} .5360105
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1241475{col 38}{space 2} .3118318{col 49}{space 1}    0.40{col 58}{space 3}0.691{col 66}{space 4} -.489241{col 79}{space 3}  .737536
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 10.46493{col 38}{space 2}  2.91415{col 49}{space 1}    3.59{col 58}{space 3}0.000{col 66}{space 4} 4.732657{col 79}{space 3} 16.19721
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.2142597
                 {txt}sigma_e {c |} {res} .97609185
                     {txt}rho {c |} {res} .83729442{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est10{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "High"

{txt}added macro:
               e(CNTL) : "{res:High}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    
. esttab using "regression3cInc.tex", replace f  ///
>  b(2) se(2) ///
>  keep(ATET ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of energy poverty on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must adapt" "Oppose EU Integration" "Left-Right" , pattern(1 0 1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Income" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression3cInc.tex"'})

{com}.  
.  * Appendix table with all observations, energy poverty
.  esttab using "regression3cappendixInc.tex", replace f  ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of energy poverty on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must adapt" "Oppose EU Integration" "Left-Right" , pattern(1 0 1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Income" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression3cappendixInc.tex"'})

{com}.  
. 
.  
.  
.  
.  
.  
.  
.  
.  
.  
.  
.  
.  
.  
.  
.  *Looking at goals
.  *Identical estimates using xtreg
. xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                   xtreg  price1  ATET  i.year if include==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,777
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,314

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0183{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0046{col 63}{txt}avg{col 67}={col 69}{res}       5.2
{txt}     Overall = {res}0.0089{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1313{txt}){col 67}={col 70}{res}     7.93
{txt}corr(u_i, Xb) = {res}-0.0191{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,314} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      price1{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0555557{col 26}{space 2} .0225187{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .0113791{col 67}{space 3} .0997323
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0014285{col 26}{space 2} .0229203{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4} -.043536{col 67}{space 3}  .046393
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0439303{col 26}{space 2} .0216085{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0015393{col 67}{space 3} .0863212
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}   .08289{col 26}{space 2} .0220428{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .0396469{col 67}{space 3}  .126133
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .1032597{col 26}{space 2} .0223741{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4} .0593668{col 67}{space 3} .1471526
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .1129628{col 26}{space 2} .0226408{col 37}{space 1}    4.99{col 46}{space 3}0.000{col 54}{space 4} .0685468{col 67}{space 3} .1573788
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}  .004518{col 26}{space 2} .0279763{col 37}{space 1}    0.16{col 46}{space 3}0.872{col 54}{space 4}-.0503652{col 67}{space 3} .0594011
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0280638{col 26}{space 2} .0278829{col 37}{space 1}   -1.01{col 46}{space 3}0.314{col 54}{space 4}-.0827638{col 67}{space 3} .0266361
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0065563{col 26}{space 2} .0292474{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4} -.063933{col 67}{space 3} .0508204
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0668698{col 26}{space 2} .0303714{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0072879{col 67}{space 3} .1264516
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .0185027{col 26}{space 2} .0302585{col 37}{space 1}    0.61{col 46}{space 3}0.541{col 54}{space 4}-.0408576{col 67}{space 3} .0778631
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0286741{col 26}{space 2}  .029698{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-.0869349{col 67}{space 3} .0295867
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  .150553{col 26}{space 2}  .017663{col 37}{space 1}    8.52{col 46}{space 3}0.000{col 54}{space 4} .1159022{col 67}{space 3} .1852038
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30945438
     {txt}sigma_e {c |} {res} .31361169
         {txt}rho {c |} {res} .49332795{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
.         
.  
.   
.   *Same but now for energypoverty
.   
.    *Matching on 2013 levels
. 
.   
.   *Same but now for energypoverty
.   
.    *Matching on 2013 levels
.  
.    set seed 12345
{txt}
{com}.  
.    psmatch2 epov i.oplcat   lninc i.employ renter if year==2013, outcome(extremeright)
{res}
{txt}{col 1}Probit regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:3,609}
{txt}{col 57}{lalign 13:LR chi2({res:12})}{col 70} = {res}{ralign 6:503.28}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-1633.4055}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1335}

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    epov{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.3478738{col 38}{space 2} .0980616{col 49}{space 1}   -3.55{col 58}{space 3}0.000{col 66}{space 4} -.540071{col 79}{space 3}-.1556766
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.5724471{col 38}{space 2} .1224376{col 49}{space 1}   -4.68{col 58}{space 3}0.000{col 66}{space 4}-.8124204{col 79}{space 3}-.3324738
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.4272012{col 38}{space 2} .1029236{col 49}{space 1}   -4.15{col 58}{space 3}0.000{col 66}{space 4}-.6289277{col 79}{space 3}-.2254746
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.6862542{col 38}{space 2} .1038688{col 49}{space 1}   -6.61{col 58}{space 3}0.000{col 66}{space 4}-.8898334{col 79}{space 3}-.4826751
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.6300875{col 38}{space 2} .1246495{col 49}{space 1}   -5.05{col 58}{space 3}0.000{col 66}{space 4}-.8743961{col 79}{space 3}-.3857789
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.3811358{col 38}{space 2} .0261625{col 49}{space 1}  -14.57{col 58}{space 3}0.000{col 66}{space 4}-.4324134{col 79}{space 3}-.3298582
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .3914551{col 38}{space 2} .1013524{col 49}{space 1}    3.86{col 58}{space 3}0.000{col 66}{space 4}  .192808{col 79}{space 3} .5901022
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .5821188{col 38}{space 2} .0791599{col 49}{space 1}    7.35{col 58}{space 3}0.000{col 66}{space 4} .4269682{col 79}{space 3} .7372693
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-1.267465{col 38}{space 2} .1989347{col 49}{space 1}   -6.37{col 58}{space 3}0.000{col 66}{space 4} -1.65737{col 79}{space 3}-.8775599
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .2806896{col 38}{space 2} .0924047{col 49}{space 1}    3.04{col 58}{space 3}0.002{col 66}{space 4} .0995798{col 79}{space 3} .4617994
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0527621{col 38}{space 2} .0640236{col 49}{space 1}    0.82{col 58}{space 3}0.410{col 66}{space 4}-.0727217{col 79}{space 3}  .178246
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}  .137686{col 38}{space 2} .0522324{col 49}{space 1}    2.64{col 58}{space 3}0.008{col 66}{space 4} .0353125{col 79}{space 3} .2400596
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 2.421924{col 38}{space 2} .2287295{col 49}{space 1}   10.59{col 58}{space 3}0.000{col 66}{space 4} 1.973622{col 79}{space 3} 2.870225
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{hline 28}{c TT}{hline 59}
        Variable     Sample {c |}    Treated     Controls   Difference         S.E.   T-stat
{hline 28}{c +}{hline 59}
    extremeright  Unmatched {c |}{res} .161331626   .109971711   .051359915   .013162986     3.90
{txt}{col 17}        ATT {c |}{res} .161331626   .099871959   .061459667   .023761706     2.59
{txt}{hline 28}{c +}{hline 59}
Note: S.E. does not take into account that the propensity score is estimated.

           {c |} psmatch2:
 psmatch2: {c |}   Common
 Treatment {c |}  support
assignment {c |} On suppor {c |}     Total
{hline 11}{c +}{hline 11}{c +}{hline 10}
 Untreated {c |}{res}     2,828 {txt}{c |}{res}     2,828 
{txt}   Treated {c |}{res}       781 {txt}{c |}{res}       781 
{txt}{hline 11}{c +}{hline 11}{c +}{hline 10}
     Total {c |}{res}     3,609 {txt}{c |}{res}     3,609 
{txt}
{com}. 
.    iematch, grpdummy(epov) matchvar( _pscore ) seedok

{hline}

{pstd}{ul:Observations are excluded from the matching for the following reasons:}{break}
66002 observation(s) were excluded due to missing value in matchvar(_pscore).{break}{p_end}

{hline}{break}
{pstd}{ul:Matching one-to-one. Base observations left to match:}{p_end}
{pstd}781 351 225 170 145 137 130 126 123 121 119 117 115 113 111 109 107 105 103 101 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 {p_end}

{hline}

{pstd}{ul:Output of Matching Result:}{p_end}

{col 5}{center 22:_matchResult}{col 27} {centre 23:epov }
{col 4}{c LT}{hline 22}{c +}{hline 23}{c RT}
{col 4}{c |}{center 22:value and result}{col 27}{c |} 1 (base)   0 (target) {c |}
{col 4}{c LT}{hline 22}{c +}{hline 10}{c +}{hline 12}{c RT}
{col 4}{c |} 1 Matched{col 27}{c |}{ralign 10 :781 }{col 38}{c |}{ralign 12 :781 }{col 51}{c |}
{col 4}{c |} 0 Not matched{col 27}{c |}{ralign 10 :0 }{col 38}{c |}{ralign 12 :2,047 }{col 51}{c |}
{col 4}{c |}.m Missing matchvar(){col 27}{c |}{ralign 10 :12,367 }{col 38}{c |}{ralign 12 :53,635 }{col 51}{c |}
{col 4}{c LT}{hline 22}{c +}{hline 10}{c +}{hline 12}{c RT}
{col 4}{c |}{center 22:N per group}{col 27}{c |}{ralign 10 :13,148 }{col 38}{c |}{ralign 12 :56,463 }{col 51}{c |}
{col 4}{c LT}{hline 22}{c +}{hline 10}{c BT}{hline 12}{c RT}
{col 4}{c |}{center 22:Total N}{col 27}{c |}{centre 23:69,611}{col 51}{c |}
{col 4}{c BLC}{hline 22}{c BT}{hline 23}{c BRC}
{txt}
{com}.    gen matchid=nomem_encr if _matchResult==1
{txt}(68,049 missing values generated)

{com}. 
.    xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                   bysort nomem_encr (year) : egen matchidnew = max(matchid)
{txt}(55,405 missing values generated)

{com}.                   
.                     *Panel regressions that allow for within person changes
.         
. gen includenew=1 if matchidnew != .
{txt}(55,405 missing values generated)

{com}.   
.  tab includenew epov if year==2013

           {txt}{c |}    Energy Poverty
includenew {c |} Not energ  Energy po {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}       781        781 {txt}{c |}{res}     1,562 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       781        781 {txt}{c |}{res}     1,562 
{txt}
{com}.  
.           *Summary tables
.   est clear
{res}{txt}
{com}. eststo grp1: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6  lninc deduc1-deduc6 status1-status6 renter if epov==0 & Post==0 & includenew==1  

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{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
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{space 0}{space 0}{ralign 12:status2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf: .0973815}}}{space 1}{space 1}{ralign 9:{res:{sf: .0879174}}}{space 1}{space 1}{ralign 9:{res:{sf: .2965087}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      450}}}{space 1}
{space 0}{space 0}{ralign 12:status3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:  .163601}}}{space 1}{space 1}{ralign 9:{res:{sf: .1368653}}}{space 1}{space 1}{ralign 9:{res:{sf: .3699531}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      756}}}{space 1}
{space 0}{space 0}{ralign 12:status4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf: .0313785}}}{space 1}{space 1}{ralign 9:{res:{sf: .0304005}}}{space 1}{space 1}{ralign 9:{res:{sf: .1743573}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      145}}}{space 1}
{space 0}{space 0}{ralign 12:status5}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf: .1155594}}}{space 1}{space 1}{ralign 9:{res:{sf: .1022275}}}{space 1}{space 1}{ralign 9:{res:{sf: .3197304}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      534}}}{space 1}
{space 0}{space 0}{ralign 12:status6}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf: .2428046}}}{space 1}{space 1}{ralign 9:{res:{sf: .1838903}}}{space 1}{space 1}{ralign 9:{res:{sf: .4288243}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1122}}}{space 1}
{space 0}{space 0}{ralign 12:lninc}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4570}}}{space 1}{space 1}{ralign 9:{res:{sf:     4570}}}{space 1}{space 1}{ralign 9:{res:{sf: 7.719719}}}{space 1}{space 1}{ralign 9:{res:{sf: .7767912}}}{space 1}{space 1}{ralign 9:{res:{sf: .8813576}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 11.84757}}}{space 1}{space 1}{ralign 9:{res:{sf: 35279.12}}}{space 1}
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{space 0}{space 0}{ralign 12:deduc2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4636}}}{space 1}{space 1}{ralign 9:{res:{sf:     4636}}}{space 1}{space 1}{ralign 9:{res:{sf: .3645384}}}{space 1}{space 1}{ralign 9:{res:{sf: .2317001}}}{space 1}{space 1}{ralign 9:{res:{sf: .4813524}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1690}}}{space 1}
{space 0}{space 0}{ralign 12:deduc3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4636}}}{space 1}{space 1}{ralign 9:{res:{sf:     4636}}}{space 1}{space 1}{ralign 9:{res:{sf: .0802416}}}{space 1}{space 1}{ralign 9:{res:{sf: .0738188}}}{space 1}{space 1}{ralign 9:{res:{sf: .2716962}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      372}}}{space 1}
{space 0}{space 0}{ralign 12:deduc4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4636}}}{space 1}{space 1}{ralign 9:{res:{sf:     4636}}}{space 1}{space 1}{ralign 9:{res:{sf: .2174288}}}{space 1}{space 1}{ralign 9:{res:{sf: .1701902}}}{space 1}{space 1}{ralign 9:{res:{sf: .4125412}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1008}}}{space 1}
{space 0}{space 0}{ralign 12:deduc5}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4636}}}{space 1}{space 1}{ralign 9:{res:{sf:     4636}}}{space 1}{space 1}{ralign 9:{res:{sf: .1451682}}}{space 1}{space 1}{ralign 9:{res:{sf: .1241212}}}{space 1}{space 1}{ralign 9:{res:{sf: .3523084}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      673}}}{space 1}
{space 0}{space 0}{ralign 12:deduc6}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4636}}}{space 1}{space 1}{ralign 9:{res:{sf:     4636}}}{space 1}{space 1}{ralign 9:{res:{sf: .0612597}}}{space 1}{space 1}{ralign 9:{res:{sf: .0575194}}}{space 1}{space 1}{ralign 9:{res:{sf: .2398319}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      284}}}{space 1}
{space 0}{space 0}{ralign 12:status1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:  .349275}}}{space 1}{space 1}{ralign 9:{res:{sf: .2273312}}}{space 1}{space 1}{ralign 9:{res:{sf: .4767926}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1614}}}{space 1}
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{space 0}{space 0}{ralign 12:status3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:  .163601}}}{space 1}{space 1}{ralign 9:{res:{sf: .1368653}}}{space 1}{space 1}{ralign 9:{res:{sf: .3699531}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      756}}}{space 1}
{space 0}{space 0}{ralign 12:status4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf: .0313785}}}{space 1}{space 1}{ralign 9:{res:{sf: .0304005}}}{space 1}{space 1}{ralign 9:{res:{sf: .1743573}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      145}}}{space 1}
{space 0}{space 0}{ralign 12:status5}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf: .1155594}}}{space 1}{space 1}{ralign 9:{res:{sf: .1022275}}}{space 1}{space 1}{ralign 9:{res:{sf: .3197304}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      534}}}{space 1}
{space 0}{space 0}{ralign 12:status6}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf:     4621}}}{space 1}{space 1}{ralign 9:{res:{sf: .2428046}}}{space 1}{space 1}{ralign 9:{res:{sf: .1838903}}}{space 1}{space 1}{ralign 9:{res:{sf: .4288243}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1122}}}{space 1}
{space 0}{space 0}{ralign 12:renter}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     4640}}}{space 1}{space 1}{ralign 9:{res:{sf:     4640}}}{space 1}{space 1}{ralign 9:{res:{sf: .6784483}}}{space 1}{space 1}{ralign 9:{res:{sf: .2182032}}}{space 1}{space 1}{ralign 9:{res:{sf: .4671223}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     3148}}}{space 1}

{com}. eststo grp2: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6  lninc deduc1-deduc6 status1-status6 renter if epov==0 & Post==1 & includenew==1

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{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
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{com}. eststo grp3: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6   lninc deduc1-deduc6 status1-status6 renter if epov==1 & Post==0 & includenew==1

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{space 0}{space 0}{ralign 12:status5}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3120}}}{space 1}{space 1}{ralign 9:{res:{sf:     3120}}}{space 1}{space 1}{ralign 9:{res:{sf: .1644231}}}{space 1}{space 1}{ralign 9:{res:{sf: .1374322}}}{space 1}{space 1}{ralign 9:{res:{sf: .3707185}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      513}}}{space 1}
{space 0}{space 0}{ralign 12:status6}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3120}}}{space 1}{space 1}{ralign 9:{res:{sf:     3120}}}{space 1}{space 1}{ralign 9:{res:{sf: .2458333}}}{space 1}{space 1}{ralign 9:{res:{sf: .1854587}}}{space 1}{space 1}{ralign 9:{res:{sf: .4306492}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      767}}}{space 1}
{space 0}{space 0}{ralign 12:renter}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3136}}}{space 1}{space 1}{ralign 9:{res:{sf:     3136}}}{space 1}{space 1}{ralign 9:{res:{sf: .6839923}}}{space 1}{space 1}{ralign 9:{res:{sf: .2162158}}}{space 1}{space 1}{ralign 9:{res:{sf: .4649901}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     2145}}}{space 1}

{com}. eststo grp4: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6   lninc deduc1-deduc6 status1-status6 renter if epov==1 & Post==1 & includenew==1

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{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
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{com}. 
.  
. esttab grp* using "summarytablePoverty.tex", replace f ///
>    main(mean %6.2f) aux(sd)    nostar nonumber unstack ///
>    compress nonote noobs gap label booktabs    ///
>    mtitle("Not Energy Poor, Pre" "Not Energy Poor, Post" "Energy Poor, Pre" "Energy Poor, Post")
{res}{txt}(output written to {browse  `"summarytablePoverty.tex"'})

{com}.    
.    
. graph drop _all
{txt}
{com}. lgraph extremeright year epov if includenew==1,  errortype(ci(95)) xlabel(2008(4)2020) title("Voting for the Radical Right") name(erpov1) legend(rows(1))
{res}{txt}
{com}. 
. lgraph PVVsympmean year epov if includenew==1,  errortype(ci(95)) xlabel(2008(4)2020) title("Relative Sympathy for PVV") name(erpov2) 
{res}{txt}
{com}. 
. grc1leg erpov1 erpov2, legendfrom(erpov1) 
{res}{txt}
{com}. graph export erpov.png, replace 
{txt}{p 0 4 2}
file {bf}
erpov.png{rm}
saved as
PNG
format
{p_end}

{com}. 
. 
.  gen deltapov=abs(d.epov)
{txt}(20,504 missing values generated)

{com}.  bysort nomem_encr (year) : gen cum_POV = sum(deltapov)
{txt}
{com}.   *Separate panelids by when people change status
.  gen panelidPOV =(nomem_encr +.1*cum_POV)*10
{txt}(1 missing value generated)

{com}.  bysort panelidPOV (year) : egen minyr4 = min(year)
{txt}
{com}.  bysort panelidPOV (year) : egen maxyr4 = max(year)
{txt}
{com}.  gen include3=0
{txt}
{com}.  replace include3=1 if minyr4<2015 & maxyr4>2014
{txt}(43,195 real changes made)

{com}.     replace ATET=epov
{txt}(63,188 real changes made)

{com}.   replace ATET=0 if Paris==0 & epov==1
{txt}(6,390 real changes made)

{com}.   
.   *DiD regressions with no within-person changes
.   
.   xtset panelidPOV year
{res}
{col 1}{txt:Panel variable: }{res:panelidPOV}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. 
.   
.       xtdidregress (extremeright ) (ATET) if include3==1 & includenew==1, group(panelidPOV ) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidPOV {c |}{col 14}{res}{space 1}      725{col 25}{space 2}      620
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2013{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:9,909}
{txt}Data type: Longitudinal

{res}{txt}{ralign 78:(Std. err. adjusted for {res:1,345} clusters in {res:panelidPOV})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET         {txt}{c |}
{space 8}ATET {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0324601{col 26}{space 2}  .012282{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .0083662{col 67}{space 3}  .056554
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for panel effects and time effects.{p_end}

{com}.            xtdidregress (PVVsympmean) (ATET) if include3==1 & includenew==1, group(panelidPOV) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidPOV {c |}{col 14}{res}{space 1}      720{col 25}{space 2}      615
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2020{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:9,489}
{txt}Data type: Longitudinal

{res}{txt}{ralign 78:(Std. err. adjusted for {res:1,335} clusters in {res:panelidPOV})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET         {txt}{c |}
{space 8}ATET {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .3392001{col 26}{space 2} .1002457{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} .1425436{col 67}{space 3} .5358565
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for panel effects and time effects.{p_end}

{com}.     
.         xtdidregress (extremeright i.oplcat i.employ  lninc ) (ATET) if include3==1 & includenew==1, group(panelidPOV ) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidPOV {c |}{col 14}{res}{space 1}      725{col 25}{space 2}      620
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2013{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:9,735}
{txt}Data type: Longitudinal

{res}{txt}{ralign 90:(Std. err. adjusted for {res:1,345} clusters in {res:panelidPOV})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 20}ATET {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} .0330914{col 38}{space 2} .0125117{col 49}{space 1}    2.64{col 58}{space 3}0.008{col 66}{space 4} .0085469{col 79}{space 3} .0576359
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for covariates,{txt} panel effects, and time effects.{p_end}

{com}.            xtdidregress (PVVsympmean i.oplcat  i.employ lninc) (ATET) if include3==1 & includenew==1, group(panelidPOV) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidPOV {c |}{col 14}{res}{space 1}      719{col 25}{space 2}      615
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2020{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:9,322}
{txt}Data type: Longitudinal

{res}{txt}{ralign 90:(Std. err. adjusted for {res:1,334} clusters in {res:panelidPOV})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 20}ATET {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} .3569681{col 38}{space 2} .0998158{col 49}{space 1}    3.58{col 58}{space 3}0.000{col 66}{space 4}  .161155{col 79}{space 3} .5527812
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for covariates,{txt} panel effects, and time effects.{p_end}

{com}. 
.         
.         
.         *Panel regressions that allow for within person changes
.              xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. 
.                 *Only include observations that have at least one before and one after value
. 
.                    xtreg  extremeright  ATET  i.year if include3==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     9,909
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0102{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0115{col 63}{txt}avg{col 67}={col 69}{res}       7.4
{txt}     Overall = {res}0.0075{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1344{txt}){col 67}={col 70}{res}     5.11
{txt}corr(u_i, Xb) = {res}0.0312{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,345} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0324601{col 26}{space 2}  .012282{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .0083662{col 67}{space 3}  .056554
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0402526{col 26}{space 2} .0135641{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .0136434{col 67}{space 3} .0668617
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0061439{col 26}{space 2} .0140301{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-.0213793{col 67}{space 3} .0336671
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0115042{col 26}{space 2} .0135276{col 37}{space 1}   -0.85{col 46}{space 3}0.395{col 54}{space 4}-.0380417{col 67}{space 3} .0150332
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0107565{col 26}{space 2} .0138206{col 37}{space 1}   -0.78{col 46}{space 3}0.437{col 54}{space 4}-.0378687{col 67}{space 3} .0163558
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0121233{col 26}{space 2} .0139255{col 37}{space 1}   -0.87{col 46}{space 3}0.384{col 54}{space 4}-.0394414{col 67}{space 3} .0151948
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0168204{col 26}{space 2} .0144986{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4} -.011622{col 67}{space 3} .0452627
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .0172683{col 26}{space 2}  .014687{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.0115436{col 67}{space 3} .0460802
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0072257{col 26}{space 2} .0152051{col 37}{space 1}    0.48{col 46}{space 3}0.635{col 54}{space 4}-.0226026{col 67}{space 3}  .037054
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0260184{col 26}{space 2} .0155708{col 37}{space 1}    1.67{col 46}{space 3}0.095{col 54}{space 4}-.0045273{col 67}{space 3} .0565641
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .0031699{col 26}{space 2} .0164548{col 37}{space 1}    0.19{col 46}{space 3}0.847{col 54}{space 4}  -.02911{col 67}{space 3} .0354498
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .0106274{col 26}{space 2} .0163747{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.0214953{col 67}{space 3}   .04275
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1532501{col 26}{space 2} .0118106{col 37}{space 1}   12.98{col 46}{space 3}0.000{col 54}{space 4} .1300809{col 67}{space 3} .1764192
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .31255079
     {txt}sigma_e {c |} {res} .21808334
         {txt}rho {c |} {res} .67255845{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.                     estimates store M9
{txt}
{com}.   xtreg  PVVsympmean ATET  i.year if include3==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     9,489
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,335

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0151{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0145{col 63}{txt}avg{col 67}={col 69}{res}       7.1
{txt}     Overall = {res}0.0117{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}11{txt},{res}1334{txt}){col 67}={col 70}{res}    10.66
{txt}corr(u_i, Xb) = {res}0.0556{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,335} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .3392001{col 26}{space 2} .1002457{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} .1425436{col 67}{space 3} .5358565
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0917066{col 26}{space 2} .0891552{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.0831932{col 67}{space 3} .2666063
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .4371205{col 26}{space 2} .0963651{col 37}{space 1}    4.54{col 46}{space 3}0.000{col 54}{space 4} .2480768{col 67}{space 3} .6261642
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2689518{col 26}{space 2} .0990429{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4}  .074655{col 67}{space 3} .4632486
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .5223669{col 26}{space 2} .0989318{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4}  .328288{col 67}{space 3} .7164458
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .2603908{col 26}{space 2} .1079661{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .0485889{col 67}{space 3} .4721927
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .2779071{col 26}{space 2} .1090315{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .0640152{col 67}{space 3}  .491799
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0808447{col 26}{space 2} .1134745{col 37}{space 1}   -0.71{col 46}{space 3}0.476{col 54}{space 4}-.3034526{col 67}{space 3} .1417632
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .4134188{col 26}{space 2} .1153913{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} .1870507{col 67}{space 3}  .639787
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2405954{col 26}{space 2} .1175728{col 37}{space 1}    2.05{col 46}{space 3}0.041{col 54}{space 4} .0099477{col 67}{space 3} .4712431
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .3612277{col 26}{space 2} .1278545{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .1104098{col 67}{space 3} .6120456
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} -1.99525{col 26}{space 2} .0849919{col 37}{space 1}  -23.48{col 46}{space 3}0.000{col 54}{space 4}-2.161983{col 67}{space 3}-1.828518
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  3.395699
     {txt}sigma_e {c |} {res}  1.601268
         {txt}rho {c |} {res} .81808513{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.    estimates store M10
{txt}
{com}.        xtreg  extremeright ATET i.oplcat  lninc i.employ renter  i.year if include3==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     9,735
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0132{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0001{col 63}{txt}avg{col 67}={col 69}{res}       7.2
{txt}     Overall = {res}0.0006{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1344{txt}){col 67}={col 70}{res}     3.18
{txt}corr(u_i, Xb) = {res}-0.1087{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,345} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0329817{col 38}{space 2} .0125069{col 49}{space 1}    2.64{col 58}{space 3}0.008{col 66}{space 4} .0084465{col 79}{space 3} .0575169
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0447722{col 38}{space 2} .0465914{col 49}{space 1}   -0.96{col 58}{space 3}0.337{col 66}{space 4}-.1361719{col 79}{space 3} .0466276
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}  .076476{col 38}{space 2} .0592346{col 49}{space 1}    1.29{col 58}{space 3}0.197{col 66}{space 4}-.0397264{col 79}{space 3} .1926783
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0040286{col 38}{space 2} .0389482{col 49}{space 1}    0.10{col 58}{space 3}0.918{col 66}{space 4}-.0723772{col 79}{space 3} .0804345
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0203756{col 38}{space 2} .0337815{col 49}{space 1}   -0.60{col 58}{space 3}0.547{col 66}{space 4}-.0866458{col 79}{space 3} .0458946
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0058712{col 38}{space 2} .0316269{col 49}{space 1}   -0.19{col 58}{space 3}0.853{col 66}{space 4}-.0679147{col 79}{space 3} .0561722
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0076297{col 38}{space 2} .0062917{col 49}{space 1}   -1.21{col 58}{space 3}0.225{col 66}{space 4}-.0199723{col 79}{space 3} .0047129
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0272739{col 38}{space 2} .0215172{col 49}{space 1}   -1.27{col 58}{space 3}0.205{col 66}{space 4}-.0694849{col 79}{space 3} .0149371
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0250857{col 38}{space 2} .0143529{col 49}{space 1}    1.75{col 58}{space 3}0.081{col 66}{space 4}-.0030708{col 79}{space 3} .0532422
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0512905{col 38}{space 2} .0697343{col 49}{space 1}   -0.74{col 58}{space 3}0.462{col 66}{space 4}-.1880904{col 79}{space 3} .0855094
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0042582{col 38}{space 2}  .020005{col 49}{space 1}   -0.21{col 58}{space 3}0.831{col 66}{space 4}-.0435026{col 79}{space 3} .0349862
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0081528{col 38}{space 2} .0145504{col 49}{space 1}    0.56{col 58}{space 3}0.575{col 66}{space 4}-.0203913{col 79}{space 3} .0366968
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0110385{col 38}{space 2} .0112126{col 49}{space 1}    0.98{col 58}{space 3}0.325{col 66}{space 4}-.0109576{col 79}{space 3} .0330345
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0372557{col 38}{space 2} .0134574{col 49}{space 1}    2.77{col 58}{space 3}0.006{col 66}{space 4} .0108559{col 79}{space 3} .0636555
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0025769{col 38}{space 2} .0144103{col 49}{space 1}    0.18{col 58}{space 3}0.858{col 66}{space 4}-.0256921{col 79}{space 3}  .030846
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0164206{col 38}{space 2} .0138128{col 49}{space 1}   -1.19{col 58}{space 3}0.235{col 66}{space 4}-.0435176{col 79}{space 3} .0106763
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0197531{col 38}{space 2} .0141094{col 49}{space 1}   -1.40{col 58}{space 3}0.162{col 66}{space 4} -.047432{col 79}{space 3} .0079259
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0191939{col 38}{space 2} .0142475{col 49}{space 1}   -1.35{col 58}{space 3}0.178{col 66}{space 4}-.0471435{col 79}{space 3} .0087558
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0113482{col 38}{space 2} .0149227{col 49}{space 1}    0.76{col 58}{space 3}0.447{col 66}{space 4}-.0179262{col 79}{space 3} .0406225
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0114677{col 38}{space 2} .0151882{col 49}{space 1}    0.76{col 58}{space 3}0.450{col 66}{space 4}-.0183274{col 79}{space 3} .0412629
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0039608{col 38}{space 2} .0156282{col 49}{space 1}    0.25{col 58}{space 3}0.800{col 66}{space 4}-.0266976{col 79}{space 3} .0346192
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0192171{col 38}{space 2} .0161999{col 49}{space 1}    1.19{col 58}{space 3}0.236{col 66}{space 4}-.0125628{col 79}{space 3}  .050997
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0006173{col 38}{space 2} .0172677{col 49}{space 1}    0.04{col 58}{space 3}0.971{col 66}{space 4}-.0332573{col 79}{space 3}  .034492
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .0071707{col 38}{space 2} .0172956{col 49}{space 1}    0.41{col 58}{space 3}0.679{col 66}{space 4}-.0267585{col 79}{space 3} .0410999
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2182378{col 38}{space 2} .0610593{col 49}{space 1}    3.57{col 58}{space 3}0.000{col 66}{space 4} .0984559{col 79}{space 3} .3380197
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res}  .3166698
                 {txt}sigma_e {c |} {res} .21740057
                     {txt}rho {c |} {res} .67966571{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.             estimates store M11
{txt}
{com}.   xtreg  PVVsympmean ATET  i.oplcat lninc i.employ renter  i.year if include3==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     9,322
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,334

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0181{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0376{col 63}{txt}avg{col 67}={col 69}{res}       7.0
{txt}     Overall = {res}0.0347{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}23{txt},{res}1333{txt}){col 67}={col 70}{res}     5.85
{txt}corr(u_i, Xb) = {res}0.0712{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,334} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}  .357213{col 38}{space 2} .0997943{col 49}{space 1}    3.58{col 58}{space 3}0.000{col 66}{space 4}  .161442{col 79}{space 3} .5529839
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1155583{col 38}{space 2} .3432339{col 49}{space 1}   -0.34{col 58}{space 3}0.736{col 66}{space 4}-.7888957{col 79}{space 3} .5577792
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0580955{col 38}{space 2} .3824978{col 49}{space 1}    0.15{col 58}{space 3}0.879{col 66}{space 4}-.6922676{col 79}{space 3} .8084587
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .1499274{col 38}{space 2} .3812106{col 49}{space 1}    0.39{col 58}{space 3}0.694{col 66}{space 4}-.5979106{col 79}{space 3} .8977655
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.4065274{col 38}{space 2} .4550192{col 49}{space 1}   -0.89{col 58}{space 3}0.372{col 66}{space 4}-1.299159{col 79}{space 3} .4861044
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-1.416774{col 38}{space 2} .6563129{col 49}{space 1}   -2.16{col 58}{space 3}0.031{col 66}{space 4}-2.704293{col 79}{space 3}-.1292552
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0164635{col 38}{space 2} .0510075{col 49}{space 1}   -0.32{col 58}{space 3}0.747{col 66}{space 4}-.1165272{col 79}{space 3} .0836002
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .1216671{col 38}{space 2} .1981177{col 49}{space 1}    0.61{col 58}{space 3}0.539{col 66}{space 4}-.2669893{col 79}{space 3} .5103235
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0939301{col 38}{space 2} .1351695{col 49}{space 1}    0.69{col 58}{space 3}0.487{col 66}{space 4} -.171238{col 79}{space 3} .3590981
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.3813801{col 38}{space 2} .6001053{col 49}{space 1}   -0.64{col 58}{space 3}0.525{col 66}{space 4}-1.558634{col 79}{space 3} .7958737
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1093022{col 38}{space 2} .1743543{col 49}{space 1}    0.63{col 58}{space 3}0.531{col 66}{space 4}-.2327364{col 79}{space 3} .4513408
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1738533{col 38}{space 2} .1485025{col 49}{space 1}    1.17{col 58}{space 3}0.242{col 66}{space 4}-.1174708{col 79}{space 3} .4651774
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}-.0270936{col 38}{space 2} .0855996{col 49}{space 1}   -0.32{col 58}{space 3}0.752{col 66}{space 4}-.1950182{col 79}{space 3}  .140831
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0967367{col 38}{space 2} .0870072{col 49}{space 1}    1.11{col 58}{space 3}0.266{col 66}{space 4}-.0739493{col 79}{space 3} .2674227
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .4440549{col 38}{space 2}  .096039{col 49}{space 1}    4.62{col 58}{space 3}0.000{col 66}{space 4} .2556508{col 79}{space 3}  .632459
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2471186{col 38}{space 2} .0975268{col 49}{space 1}    2.53{col 58}{space 3}0.011{col 66}{space 4} .0557959{col 79}{space 3} .4384412
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .5061492{col 38}{space 2} .0978971{col 49}{space 1}    5.17{col 58}{space 3}0.000{col 66}{space 4}    .3141{col 79}{space 3} .6981983
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  .228674{col 38}{space 2} .1075659{col 49}{space 1}    2.13{col 58}{space 3}0.034{col 66}{space 4}  .017657{col 79}{space 3} .4396909
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .2580876{col 38}{space 2} .1096955{col 49}{space 1}    2.35{col 58}{space 3}0.019{col 66}{space 4} .0428929{col 79}{space 3} .4732823
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.1037217{col 38}{space 2} .1140326{col 49}{space 1}   -0.91{col 58}{space 3}0.363{col 66}{space 4}-.3274247{col 79}{space 3} .1199813
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4016383{col 38}{space 2} .1163453{col 49}{space 1}    3.45{col 58}{space 3}0.001{col 66}{space 4} .1733986{col 79}{space 3} .6298781
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}  .211975{col 38}{space 2} .1187331{col 49}{space 1}    1.79{col 58}{space 3}0.074{col 66}{space 4} -.020949{col 79}{space 3}  .444899
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .3414845{col 38}{space 2} .1302227{col 49}{space 1}    2.62{col 58}{space 3}0.009{col 66}{space 4} .0860208{col 79}{space 3} .5969482
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.775551{col 38}{space 2} .4959048{col 49}{space 1}   -3.58{col 58}{space 3}0.000{col 66}{space 4} -2.74839{col 79}{space 3} -.802712
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res}  3.362667
                 {txt}sigma_e {c |} {res} 1.5898319
                     {txt}rho {c |} {res} .81730769{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.    estimates store M12
{txt}
{com}.  
.       xtreg  extremeright epov##renter##Post i.oplcat  lninc i.employ   i.year if include3==1 & includenew==1, fe vce(cluster nomem_encr)
{txt}{p 0 6 2}note: {bf:2020.year} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     9,735
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0146{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0000{col 63}{txt}avg{col 67}={col 69}{res}       7.2
{txt}     Overall = {res}0.0012{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}28{txt},{res}1344{txt}){col 67}={col 70}{res}     2.95
{txt}corr(u_i, Xb) = {res}-0.1038{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 91:(Std. err. adjusted for {res:1,345} clusters in {res:nomem_encr})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             extremeright{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}epov {c |}
{space 13}Energy poor  {c |}{col 27}{res}{space 2}-.0185831{col 39}{space 2}  .022113{col 50}{space 1}   -0.84{col 59}{space 3}0.401{col 67}{space 4}-.0619629{col 80}{space 3} .0247967
{txt}{space 25} {c |}
{space 19}renter {c |}
{space 18}Renter  {c |}{col 27}{res}{space 2} .0001595{col 39}{space 2} .0146504{col 50}{space 1}    0.01{col 59}{space 3}0.991{col 67}{space 4}-.0285805{col 80}{space 3} .0288996
{txt}{space 25} {c |}
{space 14}epov#renter {c |}
{space 6}Energy poor#Renter  {c |}{col 27}{res}{space 2} .0241245{col 39}{space 2} .0223694{col 50}{space 1}    1.08{col 59}{space 3}0.281{col 67}{space 4}-.0197583{col 80}{space 3} .0680073
{txt}{space 25} {c |}
{space 21}Post {c |}
{space 19}After  {c |}{col 27}{res}{space 2} .0114171{col 39}{space 2} .0184914{col 50}{space 1}    0.62{col 59}{space 3}0.537{col 67}{space 4} -.024858{col 80}{space 3} .0476922
{txt}{space 25} {c |}
{space 16}epov#Post {c |}
{space 7}Energy poor#After  {c |}{col 27}{res}{space 2} .0055393{col 39}{space 2} .0213912{col 50}{space 1}    0.26{col 59}{space 3}0.796{col 67}{space 4}-.0364245{col 80}{space 3} .0475032
{txt}{space 25} {c |}
{space 14}renter#Post {c |}
{space 12}Renter#After  {c |}{col 27}{res}{space 2}-.0085099{col 39}{space 2} .0138711{col 50}{space 1}   -0.61{col 59}{space 3}0.540{col 67}{space 4}-.0357213{col 80}{space 3} .0187014
{txt}{space 25} {c |}
{space 9}epov#renter#Post {c |}
Energy poor#Renter#After  {c |}{col 27}{res}{space 2} .0465196{col 39}{space 2} .0264574{col 50}{space 1}    1.76{col 59}{space 3}0.079{col 67}{space 4}-.0053826{col 80}{space 3} .0984219
{txt}{space 25} {c |}
{space 19}oplcat {c |}
{space 6}junior high (vmbo)  {c |}{col 27}{res}{space 2}-.0435771{col 39}{space 2} .0464127{col 50}{space 1}   -0.94{col 59}{space 3}0.348{col 67}{space 4}-.1346262{col 80}{space 3}  .047472
{txt}{space 11}have/vwo (HS)  {c |}{col 27}{res}{space 2} .0783122{col 39}{space 2} .0593134{col 50}{space 1}    1.32{col 59}{space 3}0.187{col 67}{space 4}-.0380447{col 80}{space 3} .1946692
{txt}{space 8}mbo (vocational)  {c |}{col 27}{res}{space 2} .0049828{col 39}{space 2}  .038716{col 50}{space 1}    0.13{col 59}{space 3}0.898{col 67}{space 4}-.0709675{col 80}{space 3} .0809332
{txt}{space 1}hbo (higher vocational)  {c |}{col 27}{res}{space 2}-.0196623{col 39}{space 2} .0337404{col 50}{space 1}   -0.58{col 59}{space 3}0.560{col 67}{space 4}-.0858518{col 80}{space 3} .0465272
{txt}{space 17}college  {c |}{col 27}{res}{space 2}-.0065595{col 39}{space 2} .0317933{col 50}{space 1}   -0.21{col 59}{space 3}0.837{col 67}{space 4}-.0689294{col 80}{space 3} .0558104
{txt}{space 25} {c |}
{space 20}lninc {c |}{col 27}{res}{space 2}-.0073781{col 39}{space 2} .0062837{col 50}{space 1}   -1.17{col 59}{space 3}0.241{col 67}{space 4}-.0197051{col 80}{space 3} .0049488
{txt}{space 25} {c |}
{space 19}employ {c |}
{space 11}Self-employed  {c |}{col 27}{res}{space 2}-.0259202{col 39}{space 2} .0214039{col 50}{space 1}   -1.21{col 59}{space 3}0.226{col 67}{space 4}-.0679089{col 80}{space 3} .0160686
{txt}{space 3}Unemployed/disability  {c |}{col 27}{res}{space 2}  .025647{col 39}{space 2} .0143751{col 50}{space 1}    1.78{col 59}{space 3}0.075{col 67}{space 4}-.0025532{col 80}{space 3} .0538471
{txt}{space 17}Student  {c |}{col 27}{res}{space 2} -.051854{col 39}{space 2} .0694519{col 50}{space 1}   -0.75{col 59}{space 3}0.455{col 67}{space 4}   -.1881{col 80}{space 3} .0843919
{txt}{space 13}Housekeeper  {c |}{col 27}{res}{space 2}-.0023966{col 39}{space 2} .0202075{col 50}{space 1}   -0.12{col 59}{space 3}0.906{col 67}{space 4}-.0420384{col 80}{space 3} .0372451
{txt}{space 15}Pensioner  {c |}{col 27}{res}{space 2} .0085713{col 39}{space 2} .0147811{col 50}{space 1}    0.58{col 59}{space 3}0.562{col 67}{space 4}-.0204251{col 80}{space 3} .0375678
{txt}{space 25} {c |}
{space 21}year {c |}
{space 20}2009  {c |}{col 27}{res}{space 2} .0373112{col 39}{space 2} .0134541{col 50}{space 1}    2.77{col 59}{space 3}0.006{col 67}{space 4} .0109179{col 80}{space 3} .0637044
{txt}{space 20}2010  {c |}{col 27}{res}{space 2} .0027474{col 39}{space 2} .0144736{col 50}{space 1}    0.19{col 59}{space 3}0.849{col 67}{space 4}-.0256459{col 80}{space 3} .0311407
{txt}{space 20}2011  {c |}{col 27}{res}{space 2}-.0161114{col 39}{space 2} .0139043{col 50}{space 1}   -1.16{col 59}{space 3}0.247{col 67}{space 4}-.0433879{col 80}{space 3} .0111651
{txt}{space 20}2012  {c |}{col 27}{res}{space 2}-.0196079{col 39}{space 2} .0142175{col 50}{space 1}   -1.38{col 59}{space 3}0.168{col 67}{space 4}-.0474987{col 80}{space 3} .0082829
{txt}{space 20}2013  {c |}{col 27}{res}{space 2}-.0187734{col 39}{space 2} .0143193{col 50}{space 1}   -1.31{col 59}{space 3}0.190{col 67}{space 4}-.0468639{col 80}{space 3} .0093172
{txt}{space 20}2015  {c |}{col 27}{res}{space 2} .0042924{col 39}{space 2} .0125238{col 50}{space 1}    0.34{col 59}{space 3}0.732{col 67}{space 4}-.0202759{col 80}{space 3} .0288607
{txt}{space 20}2016  {c |}{col 27}{res}{space 2} .0047415{col 39}{space 2} .0127883{col 50}{space 1}    0.37{col 59}{space 3}0.711{col 67}{space 4}-.0203456{col 80}{space 3} .0298286
{txt}{space 20}2017  {c |}{col 27}{res}{space 2}-.0036847{col 39}{space 2}  .013154{col 50}{space 1}   -0.28{col 59}{space 3}0.779{col 67}{space 4}-.0294893{col 80}{space 3} .0221199
{txt}{space 20}2018  {c |}{col 27}{res}{space 2} .0121683{col 39}{space 2} .0131678{col 50}{space 1}    0.92{col 59}{space 3}0.356{col 67}{space 4}-.0136633{col 80}{space 3}     .038
{txt}{space 20}2019  {c |}{col 27}{res}{space 2}-.0068943{col 39}{space 2} .0129027{col 50}{space 1}   -0.53{col 59}{space 3}0.593{col 67}{space 4}-.0322059{col 80}{space 3} .0184172
{txt}{space 20}2020  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .2228803{col 39}{space 2} .0611589{col 50}{space 1}    3.64{col 59}{space 3}0.000{col 67}{space 4} .1029029{col 80}{space 3} .3428577
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                  sigma_u {c |} {res} .31637696
                  {txt}sigma_e {c |} {res} .21730221
                      {txt}rho {c |} {res} .67945987{txt}   (fraction of variance due to u_i)
{hline 26}{c BT}{hline 64}

{com}.  
.  *Panel regressions
.  
.                    xtreg  extremeright  ATET epov i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,737
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0106{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0088{col 63}{txt}avg{col 67}={col 69}{res}       8.7
{txt}     Overall = {res}0.0058{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}1344{txt}){col 67}={col 70}{res}     5.94
{txt}corr(u_i, Xb) = {res}0.0176{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,345} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0383429{col 26}{space 2} .0122135{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4} .0143833{col 67}{space 3} .0623024
{txt}{space 8}epov {c |}{col 14}{res}{space 2}-.0060949{col 26}{space 2} .0099483{col 37}{space 1}   -0.61{col 46}{space 3}0.540{col 54}{space 4}-.0256108{col 67}{space 3}  .013421
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0487543{col 26}{space 2}  .011278{col 37}{space 1}    4.32{col 46}{space 3}0.000{col 54}{space 4} .0266299{col 67}{space 3} .0708788
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0138189{col 26}{space 2} .0119774{col 37}{space 1}    1.15{col 46}{space 3}0.249{col 54}{space 4}-.0096775{col 67}{space 3} .0373154
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0093522{col 26}{space 2} .0116677{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.0322411{col 67}{space 3} .0135366
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0089952{col 26}{space 2} .0120599{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-.0326536{col 67}{space 3} .0146631
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0082925{col 26}{space 2} .0123003{col 37}{space 1}   -0.67{col 46}{space 3}0.500{col 54}{space 4}-.0324223{col 67}{space 3} .0158373
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0176629{col 26}{space 2} .0128233{col 37}{space 1}    1.38{col 46}{space 3}0.169{col 54}{space 4} -.007493{col 67}{space 3} .0428188
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .0156786{col 26}{space 2}  .013199{col 37}{space 1}    1.19{col 46}{space 3}0.235{col 54}{space 4}-.0102143{col 67}{space 3} .0415714
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0083064{col 26}{space 2} .0133615{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-.0179052{col 67}{space 3}  .034518
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0273733{col 26}{space 2} .0136356{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0006239{col 67}{space 3} .0541227
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0003288{col 26}{space 2} .0141524{col 37}{space 1}   -0.02{col 46}{space 3}0.981{col 54}{space 4} -.028092{col 67}{space 3} .0274345
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .0051238{col 26}{space 2} .0139561{col 37}{space 1}    0.37{col 46}{space 3}0.714{col 54}{space 4}-.0222543{col 67}{space 3} .0325018
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1528953{col 26}{space 2} .0100006{col 37}{space 1}   15.29{col 46}{space 3}0.000{col 54}{space 4} .1332768{col 67}{space 3} .1725138
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  .3057568
     {txt}sigma_e {c |} {res} .22393502
         {txt}rho {c |} {res} .65087058{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.                     estimates store M13
{txt}
{com}.   xtreg  PVVsympmean ATET epov i.year if include2==1 & includenew==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,272
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,338

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0167{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0003{col 63}{txt}avg{col 67}={col 69}{res}       8.4
{txt}     Overall = {res}0.0032{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}1337{txt}){col 67}={col 70}{res}    12.52
{txt}corr(u_i, Xb) = {res}-0.0001{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,338} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .4275517{col 26}{space 2} .0946852{col 37}{space 1}    4.52{col 46}{space 3}0.000{col 54}{space 4}  .241804{col 67}{space 3} .6132995
{txt}{space 8}epov {c |}{col 14}{res}{space 2}-.2434067{col 26}{space 2} .0801777{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-.4006944{col 67}{space 3} -.086119
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1627199{col 26}{space 2} .0771621{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4}  .011348{col 67}{space 3} .3140919
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .5039583{col 26}{space 2} .0842854{col 37}{space 1}    5.98{col 46}{space 3}0.000{col 54}{space 4} .3386123{col 67}{space 3} .6693042
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .3348899{col 26}{space 2} .0868766{col 37}{space 1}    3.85{col 46}{space 3}0.000{col 54}{space 4} .1644606{col 67}{space 3} .5053192
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .6218196{col 26}{space 2} .0888117{col 37}{space 1}    7.00{col 46}{space 3}0.000{col 54}{space 4} .4475941{col 67}{space 3} .7960451
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}  .314705{col 26}{space 2} .0953884{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} .1275777{col 67}{space 3} .5018322
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3083561{col 26}{space 2} .0970781{col 37}{space 1}    3.18{col 46}{space 3}0.002{col 54}{space 4} .1179142{col 67}{space 3}  .498798
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0143955{col 26}{space 2} .0994254{col 37}{space 1}   -0.14{col 46}{space 3}0.885{col 54}{space 4}-.2094423{col 67}{space 3} .1806513
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .4582488{col 26}{space 2} .1020114{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4} .2581289{col 67}{space 3} .6583687
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2733091{col 26}{space 2} .1008849{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0753991{col 67}{space 3} .4712191
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .3536796{col 26}{space 2} .1086041{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} .1406265{col 67}{space 3} .5667327
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.966248{col 26}{space 2} .0757348{col 37}{space 1}  -25.96{col 46}{space 3}0.000{col 54}{space 4} -2.11482{col 67}{space 3}-1.817676
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.3668268
     {txt}sigma_e {c |} {res} 1.6447788
         {txt}rho {c |} {res} .80732627{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.    estimates store M14
{txt}
{com}.        xtreg  extremeright ATET epov i.oplcat   lninc i.employ renter  i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,497
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0129{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0010{col 63}{txt}avg{col 67}={col 69}{res}       8.5
{txt}     Overall = {res}0.0002{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}25{txt},{res}1344{txt}){col 67}={col 70}{res}     3.53
{txt}corr(u_i, Xb) = {res}-0.1174{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,345} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0399749{col 38}{space 2} .0123961{col 49}{space 1}    3.22{col 58}{space 3}0.001{col 66}{space 4} .0156571{col 79}{space 3} .0642928
{txt}{space 20}epov {c |}{col 26}{res}{space 2}-.0079206{col 38}{space 2} .0101091{col 49}{space 1}   -0.78{col 58}{space 3}0.433{col 66}{space 4}-.0277519{col 79}{space 3} .0119106
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0541484{col 38}{space 2}  .038902{col 49}{space 1}   -1.39{col 58}{space 3}0.164{col 66}{space 4}-.1304636{col 79}{space 3} .0221668
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0530015{col 38}{space 2}  .054064{col 49}{space 1}    0.98{col 58}{space 3}0.327{col 66}{space 4}-.0530575{col 79}{space 3} .1590605
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0081773{col 38}{space 2}  .034809{col 49}{space 1}    0.23{col 58}{space 3}0.814{col 66}{space 4}-.0601085{col 79}{space 3} .0764631
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0209374{col 38}{space 2} .0372698{col 49}{space 1}   -0.56{col 58}{space 3}0.574{col 66}{space 4}-.0940508{col 79}{space 3}  .052176
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0014966{col 38}{space 2} .0380321{col 49}{space 1}    0.04{col 58}{space 3}0.969{col 66}{space 4}-.0731121{col 79}{space 3} .0761054
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0021824{col 38}{space 2} .0056701{col 49}{space 1}   -0.38{col 58}{space 3}0.700{col 66}{space 4}-.0133057{col 79}{space 3} .0089409
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0158828{col 38}{space 2} .0195909{col 49}{space 1}   -0.81{col 58}{space 3}0.418{col 66}{space 4}-.0543149{col 79}{space 3} .0225492
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0152909{col 38}{space 2} .0130297{col 49}{space 1}    1.17{col 58}{space 3}0.241{col 66}{space 4}-.0102699{col 79}{space 3} .0408518
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0383569{col 38}{space 2} .0586497{col 49}{space 1}   -0.65{col 58}{space 3}0.513{col 66}{space 4}-.1534118{col 79}{space 3}  .076698
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0008937{col 38}{space 2}   .01746{col 49}{space 1}   -0.05{col 58}{space 3}0.959{col 66}{space 4}-.0351455{col 79}{space 3}  .033358
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}  .007184{col 38}{space 2}  .013622{col 49}{space 1}    0.53{col 58}{space 3}0.598{col 66}{space 4}-.0195388{col 79}{space 3} .0339067
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0133598{col 38}{space 2} .0100215{col 49}{space 1}    1.33{col 58}{space 3}0.183{col 66}{space 4}-.0062998{col 79}{space 3} .0330194
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0486412{col 38}{space 2} .0112713{col 49}{space 1}    4.32{col 58}{space 3}0.000{col 66}{space 4} .0265299{col 79}{space 3} .0707524
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}  .012571{col 38}{space 2}  .012238{col 49}{space 1}    1.03{col 58}{space 3}0.305{col 66}{space 4}-.0114366{col 79}{space 3} .0365786
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0116601{col 38}{space 2} .0118732{col 49}{space 1}   -0.98{col 58}{space 3}0.326{col 66}{space 4}-.0349522{col 79}{space 3} .0116319
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0154763{col 38}{space 2} .0123878{col 49}{space 1}   -1.25{col 58}{space 3}0.212{col 66}{space 4}-.0397778{col 79}{space 3} .0088252
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0116053{col 38}{space 2} .0126335{col 49}{space 1}   -0.92{col 58}{space 3}0.358{col 66}{space 4}-.0363888{col 79}{space 3} .0131783
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0142271{col 38}{space 2} .0132549{col 49}{space 1}    1.07{col 58}{space 3}0.283{col 66}{space 4}-.0117755{col 79}{space 3} .0402296
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}  .012068{col 38}{space 2} .0137201{col 49}{space 1}    0.88{col 58}{space 3}0.379{col 66}{space 4}-.0148472{col 79}{space 3} .0389832
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0060222{col 38}{space 2} .0139505{col 49}{space 1}    0.43{col 58}{space 3}0.666{col 66}{space 4}-.0213448{col 79}{space 3} .0333892
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0223871{col 38}{space 2} .0144407{col 49}{space 1}    1.55{col 58}{space 3}0.121{col 66}{space 4}-.0059416{col 79}{space 3} .0507158
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0021051{col 38}{space 2} .0152019{col 49}{space 1}   -0.14{col 58}{space 3}0.890{col 66}{space 4}-.0319271{col 79}{space 3}  .027717
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .0037831{col 38}{space 2} .0149442{col 49}{space 1}    0.25{col 58}{space 3}0.800{col 66}{space 4}-.0255334{col 79}{space 3} .0330996
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1774468{col 38}{space 2} .0534449{col 49}{space 1}    3.32{col 58}{space 3}0.001{col 66}{space 4} .0726024{col 79}{space 3} .2822912
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .30991464
                 {txt}sigma_e {c |} {res} .22354836
                     {txt}rho {c |} {res} .65776234{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.             estimates store M15
{txt}
{com}.   xtreg  PVVsympmean ATET epov i.oplcat lninc i.employ renter  i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,039
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,337

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0207{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0467{col 63}{txt}avg{col 67}={col 69}{res}       8.3
{txt}     Overall = {res}0.0444{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}24{txt},{res}1336{txt}){col 67}={col 70}{res}     7.41
{txt}corr(u_i, Xb) = {res}0.0796{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,337} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .4094981{col 38}{space 2} .0953172{col 49}{space 1}    4.30{col 58}{space 3}0.000{col 66}{space 4} .2225103{col 79}{space 3} .5964858
{txt}{space 20}epov {c |}{col 26}{res}{space 2}-.2111662{col 38}{space 2} .0805633{col 49}{space 1}   -2.62{col 58}{space 3}0.009{col 66}{space 4}-.3692105{col 79}{space 3} -.053122
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1332034{col 38}{space 2} .2852261{col 49}{space 1}   -0.47{col 58}{space 3}0.641{col 66}{space 4}-.6927433{col 79}{space 3} .4263364
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0169096{col 38}{space 2} .3485725{col 49}{space 1}   -0.05{col 58}{space 3}0.961{col 66}{space 4}-.7007186{col 79}{space 3} .6668995
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}  .056642{col 38}{space 2} .3401756{col 49}{space 1}    0.17{col 58}{space 3}0.868{col 66}{space 4}-.6106944{col 79}{space 3} .7239784
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.8190242{col 38}{space 2} .4035513{col 49}{space 1}   -2.03{col 58}{space 3}0.043{col 66}{space 4}-1.610687{col 79}{space 3}-.0273611
{txt}{space 16}college  {c |}{col 26}{res}{space 2} -1.63167{col 38}{space 2} .5530082{col 49}{space 1}   -2.95{col 58}{space 3}0.003{col 66}{space 4}-2.716529{col 79}{space 3}-.5468112
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0274358{col 38}{space 2} .0422239{col 49}{space 1}   -0.65{col 58}{space 3}0.516{col 66}{space 4}-.1102683{col 79}{space 3} .0553966
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .1528748{col 38}{space 2} .1791384{col 49}{space 1}    0.85{col 58}{space 3}0.394{col 66}{space 4}-.1985484{col 79}{space 3}  .504298
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0733415{col 38}{space 2} .1237744{col 49}{space 1}    0.59{col 58}{space 3}0.554{col 66}{space 4}-.1694718{col 79}{space 3} .3161548
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} -.072226{col 38}{space 2} .4123651{col 49}{space 1}   -0.18{col 58}{space 3}0.861{col 66}{space 4}-.8811797{col 79}{space 3} .7367277
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0085834{col 38}{space 2}  .163579{col 49}{space 1}   -0.05{col 58}{space 3}0.958{col 66}{space 4}-.3294831{col 79}{space 3} .3123163
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1309547{col 38}{space 2} .1290928{col 49}{space 1}    1.01{col 58}{space 3}0.311{col 66}{space 4}-.1222919{col 79}{space 3} .3842013
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0004942{col 38}{space 2} .0781222{col 49}{space 1}    0.01{col 58}{space 3}0.995{col 66}{space 4}-.1527612{col 79}{space 3} .1537497
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1588691{col 38}{space 2} .0761901{col 49}{space 1}    2.09{col 58}{space 3}0.037{col 66}{space 4}  .009404{col 79}{space 3} .3083343
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5028487{col 38}{space 2} .0849666{col 49}{space 1}    5.92{col 58}{space 3}0.000{col 66}{space 4} .3361662{col 79}{space 3} .6695312
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .3133468{col 38}{space 2} .0866938{col 49}{space 1}    3.61{col 58}{space 3}0.000{col 66}{space 4} .1432759{col 79}{space 3} .4834177
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}  .607863{col 38}{space 2} .0891474{col 49}{space 1}    6.82{col 58}{space 3}0.000{col 66}{space 4} .4329789{col 79}{space 3} .7827471
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  .309584{col 38}{space 2} .0963642{col 49}{space 1}    3.21{col 58}{space 3}0.001{col 66}{space 4} .1205423{col 79}{space 3} .4986257
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}  .315587{col 38}{space 2} .0986091{col 49}{space 1}    3.20{col 58}{space 3}0.001{col 66}{space 4} .1221415{col 79}{space 3} .5090326
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0040777{col 38}{space 2} .1013844{col 49}{space 1}   -0.04{col 58}{space 3}0.968{col 66}{space 4}-.2029677{col 79}{space 3} .1948124
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4748542{col 38}{space 2} .1045838{col 49}{space 1}    4.54{col 58}{space 3}0.000{col 66}{space 4} .2696878{col 79}{space 3} .6800206
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .2761688{col 38}{space 2} .1049931{col 49}{space 1}    2.63{col 58}{space 3}0.009{col 66}{space 4} .0701994{col 79}{space 3} .4821381
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .3798601{col 38}{space 2} .1131255{col 49}{space 1}    3.36{col 58}{space 3}0.001{col 66}{space 4} .1579371{col 79}{space 3} .6017831
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.555243{col 38}{space 2} .4188974{col 49}{space 1}   -3.71{col 58}{space 3}0.000{col 66}{space 4}-2.377011{col 79}{space 3}-.7334746
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.3062881
                 {txt}sigma_e {c |} {res} 1.6364134
                     {txt}rho {c |} {res} .80323522{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.    estimates store M16
{txt}
{com}. 
. 
.      coefplot M9 M11 M13 M15 , drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year )  xline(0) yline(0) title("Voting Intention for the Far Right") name(g3)
{res}{txt}
{com}.     coefplot M10 M12 M14 M16 , drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year )  xline(0) yline(0) title("Difference Sympathy for PVV and Mainstream Parties") name(g4)
{res}{txt}
{com}.   
.   grc1leg g3 g4, legendfrom(g3) 
{res}{txt}
{com}. graph export regressionsepov.png, replace 
{txt}{p 0 4 2}
file {bf}
regressionsepov.png{rm}
saved as
PNG
format
{p_end}

{com}. 
. 
. 
. 
.   *Using estout package for LatexTables           
. est clear
{res}{txt}
{com}.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET  i.year if include==1 & includenew==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    11505
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1345

{txt}R-sq:  Within  = {res}0.0106                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0113                                        {txt}avg = {res}      8.6
{txt}       Overall = {res}0.0066                                        {txt}max = {res}       12

                                                {txt}F({res}12{txt},{res}1344{txt})         = {res}     6.19
{txt}corr(u_i, Xb)  = {res}0.0228                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,345} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0347418{col 26}{space 2} .0102564{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4} .0146215{col 67}{space 3} .0548621
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0456851{col 26}{space 2} .0114628{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} .0231981{col 67}{space 3} .0681721
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0083075{col 26}{space 2} .0121252{col 37}{space 1}    0.69{col 46}{space 3}0.493{col 54}{space 4}-.0154789{col 67}{space 3} .0320939
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0144192{col 26}{space 2}  .011799{col 37}{space 1}   -1.22{col 46}{space 3}0.222{col 54}{space 4}-.0375657{col 67}{space 3} .0087273
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0140546{col 26}{space 2} .0120277{col 37}{space 1}   -1.17{col 46}{space 3}0.243{col 54}{space 4}-.0376496{col 67}{space 3} .0095404
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0138559{col 26}{space 2} .0122254{col 37}{space 1}   -1.13{col 46}{space 3}0.257{col 54}{space 4}-.0378388{col 67}{space 3}  .010127
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0140686{col 26}{space 2} .0130565{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4}-.0115448{col 67}{space 3}  .039682
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .0111825{col 26}{space 2} .0132324{col 37}{space 1}    0.85{col 46}{space 3}0.398{col 54}{space 4} -.014776{col 67}{space 3} .0371409
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0064047{col 26}{space 2} .0135593{col 37}{space 1}    0.47{col 46}{space 3}0.637{col 54}{space 4}-.0201949{col 67}{space 3} .0330043
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0235231{col 26}{space 2} .0140217{col 37}{space 1}    1.68{col 46}{space 3}0.094{col 54}{space 4}-.0039838{col 67}{space 3} .0510299
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0028993{col 26}{space 2}  .014432{col 37}{space 1}   -0.20{col 46}{space 3}0.841{col 54}{space 4}-.0312109{col 67}{space 3} .0254123
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}  .004878{col 26}{space 2} .0143418{col 37}{space 1}    0.34{col 46}{space 3}0.734{col 54}{space 4}-.0232568{col 67}{space 3} .0330128
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1554701{col 26}{space 2} .0101006{col 37}{space 1}   15.39{col 46}{space 3}0.000{col 54}{space 4} .1356553{col 67}{space 3} .1752848
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .30687439
     {txt}sigma_e {c |} {res} .22366977
         {txt}rho {c |} {res} .65306417{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  extremeright ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    11273
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1345

{txt}R-sq:  Within  = {res}0.0132                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0004                                        {txt}avg = {res}      8.4
{txt}       Overall = {res}0.0005                                        {txt}max = {res}       12

                                                {txt}F({res}24{txt},{res}1344{txt})         = {res}     3.62
{txt}corr(u_i, Xb)  = {res}-0.1083                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,345} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0358745{col 38}{space 2} .0105173{col 49}{space 1}    3.41{col 58}{space 3}0.001{col 66}{space 4} .0152424{col 79}{space 3} .0565065
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0521657{col 38}{space 2} .0384414{col 49}{space 1}   -1.36{col 58}{space 3}0.175{col 66}{space 4}-.1275774{col 79}{space 3} .0232461
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0558019{col 38}{space 2}  .055761{col 49}{space 1}    1.00{col 58}{space 3}0.317{col 66}{space 4}-.0535861{col 79}{space 3} .1651899
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0073968{col 38}{space 2} .0348809{col 49}{space 1}    0.21{col 58}{space 3}0.832{col 66}{space 4}-.0610301{col 79}{space 3} .0758237
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0220472{col 38}{space 2} .0377151{col 49}{space 1}   -0.58{col 58}{space 3}0.559{col 66}{space 4}-.0960341{col 79}{space 3} .0519396
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0033532{col 38}{space 2} .0377028{col 49}{space 1}    0.09{col 58}{space 3}0.929{col 66}{space 4}-.0706095{col 79}{space 3}  .077316
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0018315{col 38}{space 2} .0060612{col 49}{space 1}   -0.30{col 58}{space 3}0.763{col 66}{space 4}-.0137219{col 79}{space 3} .0100589
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0207644{col 38}{space 2} .0198731{col 49}{space 1}   -1.04{col 58}{space 3}0.296{col 66}{space 4}  -.05975{col 79}{space 3} .0182212
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0171897{col 38}{space 2} .0131909{col 49}{space 1}    1.30{col 58}{space 3}0.193{col 66}{space 4}-.0086873{col 79}{space 3} .0430667
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} -.029833{col 38}{space 2} .0634127{col 49}{space 1}   -0.47{col 58}{space 3}0.638{col 66}{space 4}-.1542317{col 79}{space 3} .0945656
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0009939{col 38}{space 2} .0174107{col 49}{space 1}   -0.06{col 58}{space 3}0.954{col 66}{space 4} -.035149{col 79}{space 3} .0331613
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0102907{col 38}{space 2} .0137545{col 49}{space 1}    0.75{col 58}{space 3}0.454{col 66}{space 4}-.0166919{col 79}{space 3} .0372734
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0146834{col 38}{space 2} .0099882{col 49}{space 1}    1.47{col 58}{space 3}0.142{col 66}{space 4}-.0049108{col 79}{space 3} .0342776
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0454102{col 38}{space 2} .0114441{col 49}{space 1}    3.97{col 58}{space 3}0.000{col 66}{space 4} .0229599{col 79}{space 3} .0678605
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0070785{col 38}{space 2} .0123937{col 49}{space 1}    0.57{col 58}{space 3}0.568{col 66}{space 4}-.0172345{col 79}{space 3} .0313915
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0171701{col 38}{space 2} .0120189{col 49}{space 1}   -1.43{col 58}{space 3}0.153{col 66}{space 4}-.0407479{col 79}{space 3} .0064077
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0211228{col 38}{space 2} .0123639{col 49}{space 1}   -1.71{col 58}{space 3}0.088{col 66}{space 4}-.0453775{col 79}{space 3} .0031319
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0175448{col 38}{space 2} .0125912{col 49}{space 1}   -1.39{col 58}{space 3}0.164{col 66}{space 4}-.0422453{col 79}{space 3} .0071558
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0105385{col 38}{space 2} .0134911{col 49}{space 1}    0.78{col 58}{space 3}0.435{col 66}{space 4}-.0159274{col 79}{space 3} .0370045
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0072566{col 38}{space 2}   .01376{col 49}{space 1}    0.53{col 58}{space 3}0.598{col 66}{space 4}-.0197369{col 79}{space 3}   .03425
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0034644{col 38}{space 2} .0141473{col 49}{space 1}    0.24{col 58}{space 3}0.807{col 66}{space 4}-.0242887{col 79}{space 3} .0312175
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0191991{col 38}{space 2} .0147272{col 49}{space 1}    1.30{col 58}{space 3}0.193{col 66}{space 4}-.0096917{col 79}{space 3} .0480898
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0061918{col 38}{space 2} .0154885{col 49}{space 1}   -0.40{col 58}{space 3}0.689{col 66}{space 4}-.0365761{col 79}{space 3} .0241924
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .0019648{col 38}{space 2} .0153269{col 49}{space 1}    0.13{col 58}{space 3}0.898{col 66}{space 4}-.0281025{col 79}{space 3} .0320321
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1748719{col 38}{space 2} .0559762{col 49}{space 1}    3.12{col 58}{space 3}0.002{col 66}{space 4} .0650618{col 79}{space 3} .2846821
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res}  .3106205
                 {txt}sigma_e {c |} {res} .22348702
                     {txt}rho {c |} {res} .65890923{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET epov i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,737
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0106{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0088{col 63}{txt}avg{col 67}={col 69}{res}       8.7
{txt}     Overall = {res}0.0058{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}1344{txt}){col 67}={col 70}{res}     5.94
{txt}corr(u_i, Xb) = {res}0.0176{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,345} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0383429{col 26}{space 2} .0122135{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4} .0143833{col 67}{space 3} .0623024
{txt}{space 8}epov {c |}{col 14}{res}{space 2}-.0060949{col 26}{space 2} .0099483{col 37}{space 1}   -0.61{col 46}{space 3}0.540{col 54}{space 4}-.0256108{col 67}{space 3}  .013421
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0487543{col 26}{space 2}  .011278{col 37}{space 1}    4.32{col 46}{space 3}0.000{col 54}{space 4} .0266299{col 67}{space 3} .0708788
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0138189{col 26}{space 2} .0119774{col 37}{space 1}    1.15{col 46}{space 3}0.249{col 54}{space 4}-.0096775{col 67}{space 3} .0373154
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0093522{col 26}{space 2} .0116677{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.0322411{col 67}{space 3} .0135366
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0089952{col 26}{space 2} .0120599{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-.0326536{col 67}{space 3} .0146631
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0082925{col 26}{space 2} .0123003{col 37}{space 1}   -0.67{col 46}{space 3}0.500{col 54}{space 4}-.0324223{col 67}{space 3} .0158373
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0176629{col 26}{space 2} .0128233{col 37}{space 1}    1.38{col 46}{space 3}0.169{col 54}{space 4} -.007493{col 67}{space 3} .0428188
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .0156786{col 26}{space 2}  .013199{col 37}{space 1}    1.19{col 46}{space 3}0.235{col 54}{space 4}-.0102143{col 67}{space 3} .0415714
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0083064{col 26}{space 2} .0133615{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-.0179052{col 67}{space 3}  .034518
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0273733{col 26}{space 2} .0136356{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0006239{col 67}{space 3} .0541227
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0003288{col 26}{space 2} .0141524{col 37}{space 1}   -0.02{col 46}{space 3}0.981{col 54}{space 4} -.028092{col 67}{space 3} .0274345
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .0051238{col 26}{space 2} .0139561{col 37}{space 1}    0.37{col 46}{space 3}0.714{col 54}{space 4}-.0222543{col 67}{space 3} .0325018
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1528953{col 26}{space 2} .0100006{col 37}{space 1}   15.29{col 46}{space 3}0.000{col 54}{space 4} .1332768{col 67}{space 3} .1725138
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  .3057568
     {txt}sigma_e {c |} {res} .22393502
         {txt}rho {c |} {res} .65087058{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  extremeright ATET epov i.oplcat   lninc i.employ renter i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,497
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0129{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0010{col 63}{txt}avg{col 67}={col 69}{res}       8.5
{txt}     Overall = {res}0.0002{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}25{txt},{res}1344{txt}){col 67}={col 70}{res}     3.53
{txt}corr(u_i, Xb) = {res}-0.1174{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,345} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0399749{col 38}{space 2} .0123961{col 49}{space 1}    3.22{col 58}{space 3}0.001{col 66}{space 4} .0156571{col 79}{space 3} .0642928
{txt}{space 20}epov {c |}{col 26}{res}{space 2}-.0079206{col 38}{space 2} .0101091{col 49}{space 1}   -0.78{col 58}{space 3}0.433{col 66}{space 4}-.0277519{col 79}{space 3} .0119106
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0541484{col 38}{space 2}  .038902{col 49}{space 1}   -1.39{col 58}{space 3}0.164{col 66}{space 4}-.1304636{col 79}{space 3} .0221668
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0530015{col 38}{space 2}  .054064{col 49}{space 1}    0.98{col 58}{space 3}0.327{col 66}{space 4}-.0530575{col 79}{space 3} .1590605
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0081773{col 38}{space 2}  .034809{col 49}{space 1}    0.23{col 58}{space 3}0.814{col 66}{space 4}-.0601085{col 79}{space 3} .0764631
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0209374{col 38}{space 2} .0372698{col 49}{space 1}   -0.56{col 58}{space 3}0.574{col 66}{space 4}-.0940508{col 79}{space 3}  .052176
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0014966{col 38}{space 2} .0380321{col 49}{space 1}    0.04{col 58}{space 3}0.969{col 66}{space 4}-.0731121{col 79}{space 3} .0761054
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0021824{col 38}{space 2} .0056701{col 49}{space 1}   -0.38{col 58}{space 3}0.700{col 66}{space 4}-.0133057{col 79}{space 3} .0089409
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0158828{col 38}{space 2} .0195909{col 49}{space 1}   -0.81{col 58}{space 3}0.418{col 66}{space 4}-.0543149{col 79}{space 3} .0225492
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0152909{col 38}{space 2} .0130297{col 49}{space 1}    1.17{col 58}{space 3}0.241{col 66}{space 4}-.0102699{col 79}{space 3} .0408518
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0383569{col 38}{space 2} .0586497{col 49}{space 1}   -0.65{col 58}{space 3}0.513{col 66}{space 4}-.1534118{col 79}{space 3}  .076698
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0008937{col 38}{space 2}   .01746{col 49}{space 1}   -0.05{col 58}{space 3}0.959{col 66}{space 4}-.0351455{col 79}{space 3}  .033358
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}  .007184{col 38}{space 2}  .013622{col 49}{space 1}    0.53{col 58}{space 3}0.598{col 66}{space 4}-.0195388{col 79}{space 3} .0339067
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0133598{col 38}{space 2} .0100215{col 49}{space 1}    1.33{col 58}{space 3}0.183{col 66}{space 4}-.0062998{col 79}{space 3} .0330194
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0486412{col 38}{space 2} .0112713{col 49}{space 1}    4.32{col 58}{space 3}0.000{col 66}{space 4} .0265299{col 79}{space 3} .0707524
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}  .012571{col 38}{space 2}  .012238{col 49}{space 1}    1.03{col 58}{space 3}0.305{col 66}{space 4}-.0114366{col 79}{space 3} .0365786
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0116601{col 38}{space 2} .0118732{col 49}{space 1}   -0.98{col 58}{space 3}0.326{col 66}{space 4}-.0349522{col 79}{space 3} .0116319
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0154763{col 38}{space 2} .0123878{col 49}{space 1}   -1.25{col 58}{space 3}0.212{col 66}{space 4}-.0397778{col 79}{space 3} .0088252
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0116053{col 38}{space 2} .0126335{col 49}{space 1}   -0.92{col 58}{space 3}0.358{col 66}{space 4}-.0363888{col 79}{space 3} .0131783
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0142271{col 38}{space 2} .0132549{col 49}{space 1}    1.07{col 58}{space 3}0.283{col 66}{space 4}-.0117755{col 79}{space 3} .0402296
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}  .012068{col 38}{space 2} .0137201{col 49}{space 1}    0.88{col 58}{space 3}0.379{col 66}{space 4}-.0148472{col 79}{space 3} .0389832
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0060222{col 38}{space 2} .0139505{col 49}{space 1}    0.43{col 58}{space 3}0.666{col 66}{space 4}-.0213448{col 79}{space 3} .0333892
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0223871{col 38}{space 2} .0144407{col 49}{space 1}    1.55{col 58}{space 3}0.121{col 66}{space 4}-.0059416{col 79}{space 3} .0507158
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0021051{col 38}{space 2} .0152019{col 49}{space 1}   -0.14{col 58}{space 3}0.890{col 66}{space 4}-.0319271{col 79}{space 3}  .027717
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .0037831{col 38}{space 2} .0149442{col 49}{space 1}    0.25{col 58}{space 3}0.800{col 66}{space 4}-.0255334{col 79}{space 3} .0330996
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1774468{col 38}{space 2} .0534449{col 49}{space 1}    3.32{col 58}{space 3}0.001{col 66}{space 4} .0726024{col 79}{space 3} .2822912
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .30991464
                 {txt}sigma_e {c |} {res} .22354836
                     {txt}rho {c |} {res} .65776234{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET  i.year if include==1 & includenew==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    11031
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1337

{txt}R-sq:  Within  = {res}0.0153                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0144                                        {txt}avg = {res}      8.3
{txt}       Overall = {res}0.0079                                        {txt}max = {res}       11

                                                {txt}F({res}11{txt},{res}1336{txt})         = {res}    12.38
{txt}corr(u_i, Xb)  = {res}0.0364                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,337} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .2731581{col 26}{space 2} .0739859{col 37}{space 1}    3.69{col 46}{space 3}0.000{col 54}{space 4}  .128017{col 67}{space 3} .4182992
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1681413{col 26}{space 2} .0789735{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0132157{col 67}{space 3} .3230668
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .5036273{col 26}{space 2} .0855638{col 37}{space 1}    5.89{col 46}{space 3}0.000{col 54}{space 4} .3357732{col 67}{space 3} .6714814
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .3104235{col 26}{space 2} .0877551{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .1382706{col 67}{space 3} .4825764
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .5811807{col 26}{space 2} .0892013{col 37}{space 1}    6.52{col 46}{space 3}0.000{col 54}{space 4} .4061908{col 67}{space 3} .7561706
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .3576288{col 26}{space 2} .0968057{col 37}{space 1}    3.69{col 46}{space 3}0.000{col 54}{space 4} .1677211{col 67}{space 3} .5475364
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3523075{col 26}{space 2} .0991458{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} .1578091{col 67}{space 3} .5468059
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0583967{col 26}{space 2} .1001262{col 37}{space 1}    0.58{col 46}{space 3}0.560{col 54}{space 4}-.1380251{col 67}{space 3} .2548184
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .4897168{col 26}{space 2} .1036743{col 37}{space 1}    4.72{col 46}{space 3}0.000{col 54}{space 4} .2863346{col 67}{space 3} .6930989
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .3320288{col 26}{space 2} .1028828{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .1301993{col 67}{space 3} .5338582
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .4428613{col 26}{space 2}  .110821{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} .2254592{col 67}{space 3} .6602633
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.039304{col 26}{space 2} .0747299{col 37}{space 1}  -27.29{col 46}{space 3}0.000{col 54}{space 4}-2.185905{col 67}{space 3}-1.892704
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.3668707
     {txt}sigma_e {c |} {res} 1.6397718
         {txt}rho {c |} {res} .80827702{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  PVVsympmean ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    10806
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1336

{txt}R-sq:  Within  = {res}0.0195                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0566                                        {txt}avg = {res}      8.1
{txt}       Overall = {res}0.0516                                        {txt}max = {res}       11

                                                {txt}F({res}23{txt},{res}1335{txt})         = {res}     7.08
{txt}corr(u_i, Xb)  = {res}0.0936                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,336} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2755455{col 38}{space 2} .0757757{col 49}{space 1}    3.64{col 58}{space 3}0.000{col 66}{space 4} .1268931{col 79}{space 3} .4241979
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1540516{col 38}{space 2}   .28841{col 49}{space 1}   -0.53{col 58}{space 3}0.593{col 66}{space 4}-.7198376{col 79}{space 3} .4117345
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0377797{col 38}{space 2} .3696148{col 49}{space 1}   -0.10{col 58}{space 3}0.919{col 66}{space 4}-.7628688{col 79}{space 3} .6873094
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} -.005137{col 38}{space 2} .3471657{col 49}{space 1}   -0.01{col 58}{space 3}0.988{col 66}{space 4}-.6861867{col 79}{space 3} .6759128
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.9506479{col 38}{space 2} .4104244{col 49}{space 1}   -2.32{col 58}{space 3}0.021{col 66}{space 4}-1.755795{col 79}{space 3}-.1455009
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-1.650212{col 38}{space 2} .5857705{col 49}{space 1}   -2.82{col 58}{space 3}0.005{col 66}{space 4}-2.799343{col 79}{space 3}-.5010815
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0109494{col 38}{space 2} .0480041{col 49}{space 1}   -0.23{col 58}{space 3}0.820{col 66}{space 4}-.1051211{col 79}{space 3} .0832222
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .1583177{col 38}{space 2} .1847694{col 49}{space 1}    0.86{col 58}{space 3}0.392{col 66}{space 4}-.2041523{col 79}{space 3} .5207877
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0520133{col 38}{space 2} .1243095{col 49}{space 1}    0.42{col 58}{space 3}0.676{col 66}{space 4}  -.19185{col 79}{space 3} .2958766
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.1738077{col 38}{space 2} .4393498{col 49}{space 1}   -0.40{col 58}{space 3}0.692{col 66}{space 4}-1.035699{col 79}{space 3} .6880835
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0332058{col 38}{space 2} .1639263{col 49}{space 1}   -0.20{col 58}{space 3}0.840{col 66}{space 4}-.3547869{col 79}{space 3} .2883753
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}   .13608{col 38}{space 2} .1298231{col 49}{space 1}    1.05{col 58}{space 3}0.295{col 66}{space 4}-.1185995{col 79}{space 3} .3907596
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0085016{col 38}{space 2} .0788056{col 49}{space 1}    0.11{col 58}{space 3}0.914{col 66}{space 4}-.1460946{col 79}{space 3} .1630979
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1660475{col 38}{space 2} .0778694{col 49}{space 1}    2.13{col 58}{space 3}0.033{col 66}{space 4} .0132878{col 79}{space 3} .3188072
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5043778{col 38}{space 2} .0863311{col 49}{space 1}    5.84{col 58}{space 3}0.000{col 66}{space 4} .3350185{col 79}{space 3} .6737372
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2937873{col 38}{space 2}  .087878{col 49}{space 1}    3.34{col 58}{space 3}0.001{col 66}{space 4} .1213934{col 79}{space 3} .4661813
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}  .575343{col 38}{space 2} .0898696{col 49}{space 1}    6.40{col 58}{space 3}0.000{col 66}{space 4}  .399042{col 79}{space 3} .7516439
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3479583{col 38}{space 2} .0975561{col 49}{space 1}    3.57{col 58}{space 3}0.000{col 66}{space 4} .1565784{col 79}{space 3} .5393383
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3541325{col 38}{space 2} .1005491{col 49}{space 1}    3.52{col 58}{space 3}0.000{col 66}{space 4}  .156881{col 79}{space 3} .5513841
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0575142{col 38}{space 2}  .101663{col 49}{space 1}    0.57{col 58}{space 3}0.572{col 66}{space 4}-.1419225{col 79}{space 3} .2569508
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .5009838{col 38}{space 2} .1059551{col 49}{space 1}    4.73{col 58}{space 3}0.000{col 66}{space 4} .2931272{col 79}{space 3} .7088403
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3237784{col 38}{space 2} .1070495{col 49}{space 1}    3.02{col 58}{space 3}0.003{col 66}{space 4} .1137748{col 79}{space 3}  .533782
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .4585362{col 38}{space 2} .1152593{col 49}{space 1}    3.98{col 58}{space 3}0.000{col 66}{space 4} .2324271{col 79}{space 3} .6846452
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.694054{col 38}{space 2} .4558718{col 49}{space 1}   -3.72{col 58}{space 3}0.000{col 66}{space 4}-2.588357{col 79}{space 3}-.7997511
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.2999517
                 {txt}sigma_e {c |} {res} 1.6318981
                     {txt}rho {c |} {res}  .8035021{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET epov i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,272
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,338

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0167{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0003{col 63}{txt}avg{col 67}={col 69}{res}       8.4
{txt}     Overall = {res}0.0032{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}1337{txt}){col 67}={col 70}{res}    12.52
{txt}corr(u_i, Xb) = {res}-0.0001{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,338} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .4275517{col 26}{space 2} .0946852{col 37}{space 1}    4.52{col 46}{space 3}0.000{col 54}{space 4}  .241804{col 67}{space 3} .6132995
{txt}{space 8}epov {c |}{col 14}{res}{space 2}-.2434067{col 26}{space 2} .0801777{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-.4006944{col 67}{space 3} -.086119
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1627199{col 26}{space 2} .0771621{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4}  .011348{col 67}{space 3} .3140919
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .5039583{col 26}{space 2} .0842854{col 37}{space 1}    5.98{col 46}{space 3}0.000{col 54}{space 4} .3386123{col 67}{space 3} .6693042
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .3348899{col 26}{space 2} .0868766{col 37}{space 1}    3.85{col 46}{space 3}0.000{col 54}{space 4} .1644606{col 67}{space 3} .5053192
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .6218196{col 26}{space 2} .0888117{col 37}{space 1}    7.00{col 46}{space 3}0.000{col 54}{space 4} .4475941{col 67}{space 3} .7960451
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}  .314705{col 26}{space 2} .0953884{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} .1275777{col 67}{space 3} .5018322
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3083561{col 26}{space 2} .0970781{col 37}{space 1}    3.18{col 46}{space 3}0.002{col 54}{space 4} .1179142{col 67}{space 3}  .498798
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0143955{col 26}{space 2} .0994254{col 37}{space 1}   -0.14{col 46}{space 3}0.885{col 54}{space 4}-.2094423{col 67}{space 3} .1806513
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .4582488{col 26}{space 2} .1020114{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4} .2581289{col 67}{space 3} .6583687
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2733091{col 26}{space 2} .1008849{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0753991{col 67}{space 3} .4712191
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .3536796{col 26}{space 2} .1086041{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} .1406265{col 67}{space 3} .5667327
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.966248{col 26}{space 2} .0757348{col 37}{space 1}  -25.96{col 46}{space 3}0.000{col 54}{space 4} -2.11482{col 67}{space 3}-1.817676
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.3668268
     {txt}sigma_e {c |} {res} 1.6447788
         {txt}rho {c |} {res} .80732627{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  PVVsympmean ATET epov i.oplcat   lninc i.employ renter i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,039
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,337

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0207{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0467{col 63}{txt}avg{col 67}={col 69}{res}       8.3
{txt}     Overall = {res}0.0444{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}24{txt},{res}1336{txt}){col 67}={col 70}{res}     7.41
{txt}corr(u_i, Xb) = {res}0.0796{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,337} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .4094981{col 38}{space 2} .0953172{col 49}{space 1}    4.30{col 58}{space 3}0.000{col 66}{space 4} .2225103{col 79}{space 3} .5964858
{txt}{space 20}epov {c |}{col 26}{res}{space 2}-.2111662{col 38}{space 2} .0805633{col 49}{space 1}   -2.62{col 58}{space 3}0.009{col 66}{space 4}-.3692105{col 79}{space 3} -.053122
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1332034{col 38}{space 2} .2852261{col 49}{space 1}   -0.47{col 58}{space 3}0.641{col 66}{space 4}-.6927433{col 79}{space 3} .4263364
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0169096{col 38}{space 2} .3485725{col 49}{space 1}   -0.05{col 58}{space 3}0.961{col 66}{space 4}-.7007186{col 79}{space 3} .6668995
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}  .056642{col 38}{space 2} .3401756{col 49}{space 1}    0.17{col 58}{space 3}0.868{col 66}{space 4}-.6106944{col 79}{space 3} .7239784
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.8190242{col 38}{space 2} .4035513{col 49}{space 1}   -2.03{col 58}{space 3}0.043{col 66}{space 4}-1.610687{col 79}{space 3}-.0273611
{txt}{space 16}college  {c |}{col 26}{res}{space 2} -1.63167{col 38}{space 2} .5530082{col 49}{space 1}   -2.95{col 58}{space 3}0.003{col 66}{space 4}-2.716529{col 79}{space 3}-.5468112
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0274358{col 38}{space 2} .0422239{col 49}{space 1}   -0.65{col 58}{space 3}0.516{col 66}{space 4}-.1102683{col 79}{space 3} .0553966
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .1528748{col 38}{space 2} .1791384{col 49}{space 1}    0.85{col 58}{space 3}0.394{col 66}{space 4}-.1985484{col 79}{space 3}  .504298
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0733415{col 38}{space 2} .1237744{col 49}{space 1}    0.59{col 58}{space 3}0.554{col 66}{space 4}-.1694718{col 79}{space 3} .3161548
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} -.072226{col 38}{space 2} .4123651{col 49}{space 1}   -0.18{col 58}{space 3}0.861{col 66}{space 4}-.8811797{col 79}{space 3} .7367277
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0085834{col 38}{space 2}  .163579{col 49}{space 1}   -0.05{col 58}{space 3}0.958{col 66}{space 4}-.3294831{col 79}{space 3} .3123163
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1309547{col 38}{space 2} .1290928{col 49}{space 1}    1.01{col 58}{space 3}0.311{col 66}{space 4}-.1222919{col 79}{space 3} .3842013
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0004942{col 38}{space 2} .0781222{col 49}{space 1}    0.01{col 58}{space 3}0.995{col 66}{space 4}-.1527612{col 79}{space 3} .1537497
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1588691{col 38}{space 2} .0761901{col 49}{space 1}    2.09{col 58}{space 3}0.037{col 66}{space 4}  .009404{col 79}{space 3} .3083343
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5028487{col 38}{space 2} .0849666{col 49}{space 1}    5.92{col 58}{space 3}0.000{col 66}{space 4} .3361662{col 79}{space 3} .6695312
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .3133468{col 38}{space 2} .0866938{col 49}{space 1}    3.61{col 58}{space 3}0.000{col 66}{space 4} .1432759{col 79}{space 3} .4834177
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}  .607863{col 38}{space 2} .0891474{col 49}{space 1}    6.82{col 58}{space 3}0.000{col 66}{space 4} .4329789{col 79}{space 3} .7827471
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  .309584{col 38}{space 2} .0963642{col 49}{space 1}    3.21{col 58}{space 3}0.001{col 66}{space 4} .1205423{col 79}{space 3} .4986257
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}  .315587{col 38}{space 2} .0986091{col 49}{space 1}    3.20{col 58}{space 3}0.001{col 66}{space 4} .1221415{col 79}{space 3} .5090326
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0040777{col 38}{space 2} .1013844{col 49}{space 1}   -0.04{col 58}{space 3}0.968{col 66}{space 4}-.2029677{col 79}{space 3} .1948124
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4748542{col 38}{space 2} .1045838{col 49}{space 1}    4.54{col 58}{space 3}0.000{col 66}{space 4} .2696878{col 79}{space 3} .6800206
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .2761688{col 38}{space 2} .1049931{col 49}{space 1}    2.63{col 58}{space 3}0.009{col 66}{space 4} .0701994{col 79}{space 3} .4821381
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .3798601{col 38}{space 2} .1131255{col 49}{space 1}    3.36{col 58}{space 3}0.001{col 66}{space 4} .1579371{col 79}{space 3} .6017831
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.555243{col 38}{space 2} .4188974{col 49}{space 1}   -3.71{col 58}{space 3}0.000{col 66}{space 4}-2.377011{col 79}{space 3}-.7334746
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.3062881
                 {txt}sigma_e {c |} {res} 1.6364134
                     {txt}rho {c |} {res} .80323522{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
.   
. esttab using "regression2.tex", replace f   ///
>  b(2) se(2) ///
>  keep(ATET) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>    label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression2.tex"'})

{com}. 
. *Table with all the control variables
. 
.   *Table with all the control variables
.   esttab using "regression2appendix.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression2appendix.tex"'})

{com}. 
.  
.   
. **Chaisemartin et al methods
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. did_multiplegt extremeright nomem_encr year ATET if includenew==1, placebo(4) breps(50) cluster(nomem_encr)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0420661}}}{space 1}{space 1}{ralign 9:{res:{sf: .0127179}}}{space 1}{space 1}{ralign 9:{res:{sf: .0171391}}}{space 1}{space 1}{ralign 9:{res:{sf: .0669931}}}{space 1}{space 1}{ralign 9:{res:{sf:     4879}}}{space 1}{space 1}{ralign 9:{res:{sf:      826}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0167279}}}{space 1}{space 1}{ralign 9:{res:{sf: .0110481}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0383821}}}{space 1}{space 1}{ralign 9:{res:{sf: .0049264}}}{space 1}{space 1}{ralign 9:{res:{sf:     4228}}}{space 1}{space 1}{ralign 9:{res:{sf:      736}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0062285}}}{space 1}{space 1}{ralign 9:{res:{sf:  .015214}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0235908}}}{space 1}{space 1}{ralign 9:{res:{sf: .0360479}}}{space 1}{space 1}{ralign 9:{res:{sf:     3575}}}{space 1}{space 1}{ralign 9:{res:{sf:      535}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0013989}}}{space 1}{space 1}{ralign 9:{res:{sf: .0153595}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0315035}}}{space 1}{space 1}{ralign 9:{res:{sf: .0287057}}}{space 1}{space 1}{ralign 9:{res:{sf:     3318}}}{space 1}{space 1}{ralign 9:{res:{sf:      477}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0407384}}}{space 1}{space 1}{ralign 9:{res:{sf: .0161134}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0723206}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0091562}}}{space 1}{space 1}{ralign 9:{res:{sf:     2907}}}{space 1}{space 1}{ralign 9:{res:{sf:      410}}}{space 1}

{com}. 
. 
.  twowayfeweights extremeright nomem_encr year ATET if include2==1, type( feTR) 
{txt}Under the common trends assumption, beta estimates a weighted sum of 3537 ATTs. 
3484 ATTs receive a positive weight, and 53 receive a negative weight.
The sum of the positive weights is equal to 1.000237.
The sum of the negative weights is equal to -.00023693.
beta is compatible with a DGP where the average of those ATTs is equal to 0,
while their standard deviation is equal to .04876288.
beta is compatible with a DGP where those ATTs all are of a different sign than beta,
while their standard deviation is equal to 7.7735701.

{com}. 
. 
.  
.  *Same with other DVs
.  est clear
{res}{txt}
{com}.  xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  GL  ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    10,893
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,334

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0510{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0093{col 63}{txt}avg{col 67}={col 69}{res}       8.2
{txt}     Overall = {res}0.0179{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}11{txt},{res}1333{txt}){col 67}={col 70}{res}    42.95
{txt}corr(u_i, Xb) = {res}0.0029{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,334} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          GL{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.1993895{col 26}{space 2}  .067822{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4} -.332439{col 67}{space 3}  -.06634
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.1125613{col 26}{space 2} .0568041{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.2239964{col 67}{space 3}-.0011262
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}  .286057{col 26}{space 2} .0616341{col 37}{space 1}    4.64{col 46}{space 3}0.000{col 54}{space 4} .1651465{col 67}{space 3} .4069674
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.7593186{col 26}{space 2} .0676354{col 37}{space 1}  -11.23{col 46}{space 3}0.000{col 54}{space 4}-.8920021{col 67}{space 3}-.6266351
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.4853997{col 26}{space 2} .0665583{col 37}{space 1}   -7.29{col 46}{space 3}0.000{col 54}{space 4}-.6159701{col 67}{space 3}-.3548294
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.1301737{col 26}{space 2} .0731658{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.2737064{col 67}{space 3}  .013359
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.2268555{col 26}{space 2} .0780392{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-.3799485{col 67}{space 3}-.0737625
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} -.086271{col 26}{space 2} .0747365{col 37}{space 1}   -1.15{col 46}{space 3}0.249{col 54}{space 4} -.232885{col 67}{space 3}  .060343
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.1883003{col 26}{space 2} .0807548{col 37}{space 1}   -2.33{col 46}{space 3}0.020{col 54}{space 4}-.3467205{col 67}{space 3}  -.02988
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.5704441{col 26}{space 2} .0814694{col 37}{space 1}   -7.00{col 46}{space 3}0.000{col 54}{space 4}-.7302663{col 67}{space 3}-.4106219
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.6151938{col 26}{space 2} .0825932{col 37}{space 1}   -7.45{col 46}{space 3}0.000{col 54}{space 4}-.7772207{col 67}{space 3}-.4531669
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.097155{col 26}{space 2}   .05284{col 37}{space 1}   96.46{col 46}{space 3}0.000{col 54}{space 4} 4.993496{col 67}{space 3} 5.200814
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 1.9403091
     {txt}sigma_e {c |} {res} 1.3628496
         {txt}rho {c |} {res} .66963594{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  GL ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    10,671
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,332

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0539{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0428{col 63}{txt}avg{col 67}={col 69}{res}       8.0
{txt}     Overall = {res}0.0406{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}23{txt},{res}1331{txt}){col 67}={col 70}{res}    21.34
{txt}corr(u_i, Xb) = {res}0.0539{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,332} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      GL{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.2181878{col 38}{space 2} .0679798{col 49}{space 1}   -3.21{col 58}{space 3}0.001{col 66}{space 4}-.3515471{col 79}{space 3}-.0848286
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1326881{col 38}{space 2} .2337476{col 49}{space 1}   -0.57{col 58}{space 3}0.570{col 66}{space 4} -.591242{col 79}{space 3} .3258658
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0435849{col 38}{space 2} .3720325{col 49}{space 1}    0.12{col 58}{space 3}0.907{col 66}{space 4}-.6862492{col 79}{space 3} .7734189
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}  -.22279{col 38}{space 2} .2680535{col 49}{space 1}   -0.83{col 58}{space 3}0.406{col 66}{space 4}-.7486434{col 79}{space 3} .3030635
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .1258146{col 38}{space 2} .2570756{col 49}{space 1}    0.49{col 58}{space 3}0.625{col 66}{space 4}-.3785029{col 79}{space 3} .6301321
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .5255041{col 38}{space 2} .4296616{col 49}{space 1}    1.22{col 58}{space 3}0.222{col 66}{space 4}-.3173836{col 79}{space 3} 1.368392
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0131094{col 38}{space 2} .0394058{col 49}{space 1}   -0.33{col 58}{space 3}0.739{col 66}{space 4}-.0904136{col 79}{space 3} .0641948
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0870988{col 38}{space 2} .1675198{col 49}{space 1}    0.52{col 58}{space 3}0.603{col 66}{space 4}-.2415329{col 79}{space 3} .4157304
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0586409{col 38}{space 2} .0933739{col 49}{space 1}    0.63{col 58}{space 3}0.530{col 66}{space 4}-.1245352{col 79}{space 3} .2418169
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0777022{col 38}{space 2} .3130127{col 49}{space 1}    0.25{col 58}{space 3}0.804{col 66}{space 4}-.5363498{col 79}{space 3} .6917542
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0034029{col 38}{space 2} .1284492{col 49}{space 1}    0.03{col 58}{space 3}0.979{col 66}{space 4}-.2485821{col 79}{space 3} .2553879
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0617513{col 38}{space 2} .1080534{col 49}{space 1}    0.57{col 58}{space 3}0.568{col 66}{space 4}-.1502222{col 79}{space 3} .2737247
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0368046{col 38}{space 2} .0631586{col 49}{space 1}    0.58{col 58}{space 3}0.560{col 66}{space 4}-.0870967{col 79}{space 3}  .160706
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.1108007{col 38}{space 2} .0572974{col 49}{space 1}   -1.93{col 58}{space 3}0.053{col 66}{space 4}-.2232037{col 79}{space 3} .0016024
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2763248{col 38}{space 2}  .061064{col 49}{space 1}    4.53{col 58}{space 3}0.000{col 66}{space 4} .1565328{col 79}{space 3} .3961169
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.7829333{col 38}{space 2} .0681786{col 49}{space 1}  -11.48{col 58}{space 3}0.000{col 66}{space 4}-.9166825{col 79}{space 3}-.6491841
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.5105934{col 38}{space 2} .0675247{col 49}{space 1}   -7.56{col 58}{space 3}0.000{col 66}{space 4}-.6430599{col 79}{space 3} -.378127
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.1482612{col 38}{space 2} .0744515{col 49}{space 1}   -1.99{col 58}{space 3}0.047{col 66}{space 4}-.2943162{col 79}{space 3}-.0022061
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.2589558{col 38}{space 2}  .079596{col 49}{space 1}   -3.25{col 58}{space 3}0.001{col 66}{space 4}-.4151032{col 79}{space 3}-.1028084
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.1203182{col 38}{space 2} .0771656{col 49}{space 1}   -1.56{col 58}{space 3}0.119{col 66}{space 4}-.2716977{col 79}{space 3} .0310613
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.2260404{col 38}{space 2} .0845343{col 49}{space 1}   -2.67{col 58}{space 3}0.008{col 66}{space 4}-.3918754{col 79}{space 3}-.0602054
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.5844023{col 38}{space 2} .0853556{col 49}{space 1}   -6.85{col 58}{space 3}0.000{col 66}{space 4}-.7518485{col 79}{space 3}-.4169561
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.6424225{col 38}{space 2} .0864055{col 49}{space 1}   -7.43{col 58}{space 3}0.000{col 66}{space 4}-.8119282{col 79}{space 3}-.4729167
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.198808{col 38}{space 2} .3658246{col 49}{space 1}   14.21{col 58}{space 3}0.000{col 66}{space 4} 4.481152{col 79}{space 3} 5.916464
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9214179
                 {txt}sigma_e {c |} {res}  1.351667
                     {txt}rho {c |} {res} .66895213{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.     eststo: xtreg price1 ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,776
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0169{col 63}{txt}min{col 67}={col 69}{res}         2
{txt}     Between = {res}0.0049{col 63}{txt}avg{col 67}={col 69}{res}       9.5
{txt}     Overall = {res}0.0089{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1344{txt}){col 67}={col 70}{res}    12.87
{txt}corr(u_i, Xb) = {res}-0.0102{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,345} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      price1{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0045964{col 26}{space 2} .0112855{col 37}{space 1}   -0.41{col 46}{space 3}0.684{col 54}{space 4}-.0267355{col 67}{space 3} .0175426
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0249483{col 26}{space 2} .0132243{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-.0508907{col 67}{space 3} .0009942
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0038654{col 26}{space 2} .0133682{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4}-.0223594{col 67}{space 3} .0300903
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .0340734{col 26}{space 2} .0136307{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .0073335{col 67}{space 3} .0608132
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .0527002{col 26}{space 2} .0139068{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4} .0254187{col 67}{space 3} .0799816
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .0493126{col 26}{space 2} .0138165{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4} .0222083{col 67}{space 3} .0764169
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0162456{col 26}{space 2}   .01377{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4}-.0432587{col 67}{space 3} .0107674
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0551136{col 26}{space 2}   .01394{col 37}{space 1}   -3.95{col 46}{space 3}0.000{col 54}{space 4}-.0824601{col 67}{space 3} -.027767
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0253023{col 26}{space 2} .0145542{col 37}{space 1}   -1.74{col 46}{space 3}0.082{col 54}{space 4}-.0538537{col 67}{space 3}  .003249
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0488367{col 26}{space 2} .0157563{col 37}{space 1}    3.10{col 46}{space 3}0.002{col 54}{space 4}  .017927{col 67}{space 3} .0797463
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0074102{col 26}{space 2} .0150592{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-.0369524{col 67}{space 3} .0221319
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0389594{col 26}{space 2} .0146186{col 37}{space 1}   -2.67{col 46}{space 3}0.008{col 54}{space 4}-.0676372{col 67}{space 3}-.0102816
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1545558{col 26}{space 2} .0103433{col 37}{space 1}   14.94{col 46}{space 3}0.000{col 54}{space 4}  .134265{col 67}{space 3} .1748467
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .23762198
     {txt}sigma_e {c |} {res} .29322414
         {txt}rho {c |} {res} .39639414{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  price1 ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,494
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0184{col 63}{txt}min{col 67}={col 69}{res}         2
{txt}     Between = {res}0.0006{col 63}{txt}avg{col 67}={col 69}{res}       9.3
{txt}     Overall = {res}0.0085{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1344{txt}){col 67}={col 70}{res}     6.79
{txt}corr(u_i, Xb) = {res}-0.0728{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,345} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                  price1{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0046736{col 38}{space 2} .0115798{col 49}{space 1}   -0.40{col 58}{space 3}0.687{col 66}{space 4}-.0273901{col 79}{space 3} .0180429
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0693621{col 38}{space 2} .0412854{col 49}{space 1}   -1.68{col 58}{space 3}0.093{col 66}{space 4}-.1503529{col 79}{space 3} .0116287
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0003817{col 38}{space 2} .0596425{col 49}{space 1}   -0.01{col 58}{space 3}0.995{col 66}{space 4}-.1173842{col 79}{space 3} .1166209
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0562632{col 38}{space 2} .0471108{col 49}{space 1}   -1.19{col 58}{space 3}0.233{col 66}{space 4} -.148682{col 79}{space 3} .0361556
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0901963{col 38}{space 2} .0508843{col 49}{space 1}   -1.77{col 58}{space 3}0.077{col 66}{space 4}-.1900176{col 79}{space 3} .0096251
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0480735{col 38}{space 2} .0623193{col 49}{space 1}   -0.77{col 58}{space 3}0.441{col 66}{space 4}-.1703272{col 79}{space 3} .0741802
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0053309{col 38}{space 2} .0071557{col 49}{space 1}   -0.74{col 58}{space 3}0.456{col 66}{space 4}-.0193685{col 79}{space 3} .0087067
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0175588{col 38}{space 2} .0227964{col 49}{space 1}    0.77{col 58}{space 3}0.441{col 66}{space 4}-.0271616{col 79}{space 3} .0622793
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0075942{col 38}{space 2} .0164661{col 49}{space 1}    0.46{col 58}{space 3}0.645{col 66}{space 4}-.0247079{col 79}{space 3} .0398963
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0519555{col 38}{space 2} .0572258{col 49}{space 1}   -0.91{col 58}{space 3}0.364{col 66}{space 4} -.164217{col 79}{space 3}  .060306
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0324988{col 38}{space 2} .0249136{col 49}{space 1}    1.30{col 58}{space 3}0.192{col 66}{space 4}-.0163749{col 79}{space 3} .0813726
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0237323{col 38}{space 2} .0167574{col 49}{space 1}    1.42{col 58}{space 3}0.157{col 66}{space 4}-.0091412{col 79}{space 3} .0566058
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0189011{col 38}{space 2} .0116462{col 49}{space 1}    1.62{col 58}{space 3}0.105{col 66}{space 4}-.0039455{col 79}{space 3} .0417477
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0236509{col 38}{space 2} .0133021{col 49}{space 1}   -1.78{col 58}{space 3}0.076{col 66}{space 4}-.0497461{col 79}{space 3} .0024442
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0067571{col 38}{space 2} .0133673{col 49}{space 1}    0.51{col 58}{space 3}0.613{col 66}{space 4} -.019466{col 79}{space 3} .0329802
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0361126{col 38}{space 2} .0137751{col 49}{space 1}    2.62{col 58}{space 3}0.009{col 66}{space 4} .0090895{col 79}{space 3} .0631356
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0538278{col 38}{space 2} .0142259{col 49}{space 1}    3.78{col 58}{space 3}0.000{col 66}{space 4} .0259205{col 79}{space 3} .0817352
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0498055{col 38}{space 2} .0140409{col 49}{space 1}    3.55{col 58}{space 3}0.000{col 66}{space 4}  .022261{col 79}{space 3}   .07735
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  -.01512{col 38}{space 2}  .014134{col 49}{space 1}   -1.07{col 58}{space 3}0.285{col 66}{space 4}-.0428471{col 79}{space 3}  .012607
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0526858{col 38}{space 2}  .014487{col 49}{space 1}   -3.64{col 58}{space 3}0.000{col 66}{space 4}-.0811054{col 79}{space 3}-.0242662
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0217211{col 38}{space 2} .0152183{col 49}{space 1}   -1.43{col 58}{space 3}0.154{col 66}{space 4}-.0515753{col 79}{space 3} .0081332
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0514021{col 38}{space 2} .0165955{col 49}{space 1}    3.10{col 58}{space 3}0.002{col 66}{space 4} .0188461{col 79}{space 3}  .083958
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0035526{col 38}{space 2} .0160518{col 49}{space 1}   -0.22{col 58}{space 3}0.825{col 66}{space 4}-.0350419{col 79}{space 3} .0279366
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0372444{col 38}{space 2} .0156551{col 49}{space 1}   -2.38{col 58}{space 3}0.017{col 66}{space 4}-.0679554{col 79}{space 3}-.0065334
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2205845{col 38}{space 2} .0671975{col 49}{space 1}    3.28{col 58}{space 3}0.001{col 66}{space 4} .0887612{col 79}{space 3} .3524079
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .24051722
                 {txt}sigma_e {c |} {res} .29232882
                     {txt}rho {c |} {res} .40367513{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg  immigration  ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,506
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0061{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0065{col 63}{txt}avg{col 67}={col 69}{res}       9.3
{txt}     Overall = {res}0.0037{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1344{txt}){col 67}={col 70}{res}     5.10
{txt}corr(u_i, Xb) = {res}0.0162{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,345} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} immigration{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0236185{col 26}{space 2} .0239496{col 37}{space 1}    0.99{col 46}{space 3}0.324{col 54}{space 4}-.0233642{col 67}{space 3} .0706011
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0063102{col 26}{space 2} .0284061{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-.0620353{col 67}{space 3}  .049415
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0252389{col 26}{space 2} .0296776{col 37}{space 1}   -0.85{col 46}{space 3}0.395{col 54}{space 4}-.0834584{col 67}{space 3} .0329806
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .0004321{col 26}{space 2} .0291896{col 37}{space 1}    0.01{col 46}{space 3}0.988{col 54}{space 4}-.0568299{col 67}{space 3} .0576942
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .0267072{col 26}{space 2} .0294478{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.0310615{col 67}{space 3} .0844759
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .0009984{col 26}{space 2} .0296291{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4} -.057126{col 67}{space 3} .0591228
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0114605{col 26}{space 2} .0325432{col 37}{space 1}    0.35{col 46}{space 3}0.725{col 54}{space 4}-.0523806{col 67}{space 3} .0753015
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .0696494{col 26}{space 2} .0330136{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0048857{col 67}{space 3} .1344131
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0653154{col 26}{space 2} .0322352{col 37}{space 1}   -2.03{col 46}{space 3}0.043{col 54}{space 4}-.1285521{col 67}{space 3}-.0020787
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0548663{col 26}{space 2} .0339314{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4}-.1214305{col 67}{space 3}  .011698
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0227304{col 26}{space 2} .0343091{col 37}{space 1}   -0.66{col 46}{space 3}0.508{col 54}{space 4}-.0900355{col 67}{space 3} .0445748
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.1262861{col 26}{space 2} .0346537{col 37}{space 1}   -3.64{col 46}{space 3}0.000{col 54}{space 4}-.1942673{col 67}{space 3}-.0583048
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.797002{col 26}{space 2} .0236209{col 37}{space 1}  160.75{col 46}{space 3}0.000{col 54}{space 4} 3.750664{col 67}{space 3}  3.84334
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .78078542
     {txt}sigma_e {c |} {res} .60003303
         {txt}rho {c |} {res} .62869708{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  immigration ATET  i.oplcat   lninc i.employ  renter i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,243
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0089{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0236{col 63}{txt}avg{col 67}={col 69}{res}       9.1
{txt}     Overall = {res}0.0169{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1344{txt}){col 67}={col 70}{res}     3.55
{txt}corr(u_i, Xb) = {res}0.0139{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,345} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             immigration{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0202345{col 38}{space 2} .0243642{col 49}{space 1}    0.83{col 58}{space 3}0.406{col 66}{space 4}-.0275615{col 79}{space 3} .0680306
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1033843{col 38}{space 2} .0734074{col 49}{space 1}   -1.41{col 58}{space 3}0.159{col 66}{space 4}-.2473899{col 79}{space 3} .0406214
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1145585{col 38}{space 2} .1264356{col 49}{space 1}    0.91{col 58}{space 3}0.365{col 66}{space 4}-.1334742{col 79}{space 3} .3625911
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.1244684{col 38}{space 2} .0873214{col 49}{space 1}   -1.43{col 58}{space 3}0.154{col 66}{space 4}-.2957695{col 79}{space 3} .0468326
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.2548418{col 38}{space 2} .1159241{col 49}{space 1}   -2.20{col 58}{space 3}0.028{col 66}{space 4}-.4822536{col 79}{space 3}  -.02743
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.2433381{col 38}{space 2} .1397011{col 49}{space 1}   -1.74{col 58}{space 3}0.082{col 66}{space 4} -.517394{col 79}{space 3} .0307178
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0183227{col 38}{space 2} .0140232{col 49}{space 1}    1.31{col 58}{space 3}0.192{col 66}{space 4} -.009187{col 79}{space 3} .0458324
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0544194{col 38}{space 2} .0528064{col 49}{space 1}    1.03{col 58}{space 3}0.303{col 66}{space 4}-.0491726{col 79}{space 3} .1580113
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0408531{col 38}{space 2} .0316793{col 49}{space 1}    1.29{col 58}{space 3}0.197{col 66}{space 4}-.0212932{col 79}{space 3} .1029994
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0535305{col 38}{space 2} .1271177{col 49}{space 1}   -0.42{col 58}{space 3}0.674{col 66}{space 4}-.3029012{col 79}{space 3} .1958401
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0442288{col 38}{space 2}  .049035{col 49}{space 1}    0.90{col 58}{space 3}0.367{col 66}{space 4}-.0519646{col 79}{space 3} .1404221
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0162126{col 38}{space 2} .0347666{col 49}{space 1}    0.47{col 58}{space 3}0.641{col 66}{space 4}  -.05199{col 79}{space 3} .0844152
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}-.0573252{col 38}{space 2} .0250858{col 49}{space 1}   -2.29{col 58}{space 3}0.022{col 66}{space 4}-.1065367{col 79}{space 3}-.0081137
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0002732{col 38}{space 2} .0287831{col 49}{space 1}   -0.01{col 58}{space 3}0.992{col 66}{space 4}-.0567378{col 79}{space 3} .0561914
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0256213{col 38}{space 2} .0299407{col 49}{space 1}   -0.86{col 58}{space 3}0.392{col 66}{space 4}-.0843568{col 79}{space 3} .0331143
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0045759{col 38}{space 2} .0294664{col 49}{space 1}    0.16{col 58}{space 3}0.877{col 66}{space 4}-.0532292{col 79}{space 3}  .062381
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0247288{col 38}{space 2}  .029841{col 49}{space 1}    0.83{col 58}{space 3}0.407{col 66}{space 4}-.0338112{col 79}{space 3} .0832687
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0012699{col 38}{space 2} .0303696{col 49}{space 1}    0.04{col 58}{space 3}0.967{col 66}{space 4} -.058307{col 79}{space 3} .0608468
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0111888{col 38}{space 2} .0333292{col 49}{space 1}    0.34{col 58}{space 3}0.737{col 66}{space 4}-.0541942{col 79}{space 3} .0765717
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0735506{col 38}{space 2} .0338713{col 49}{space 1}    2.17{col 58}{space 3}0.030{col 66}{space 4} .0071041{col 79}{space 3}  .139997
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0613319{col 38}{space 2} .0331439{col 49}{space 1}   -1.85{col 58}{space 3}0.064{col 66}{space 4}-.1263514{col 79}{space 3} .0036876
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0577853{col 38}{space 2} .0349841{col 49}{space 1}   -1.65{col 58}{space 3}0.099{col 66}{space 4}-.1264146{col 79}{space 3}  .010844
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0250262{col 38}{space 2} .0357347{col 49}{space 1}   -0.70{col 58}{space 3}0.484{col 66}{space 4} -.095128{col 79}{space 3} .0450757
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.1263375{col 38}{space 2} .0362286{col 49}{space 1}   -3.49{col 58}{space 3}0.001{col 66}{space 4}-.1974083{col 79}{space 3}-.0552667
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.783011{col 38}{space 2} .1285585{col 49}{space 1}   29.43{col 58}{space 3}0.000{col 66}{space 4} 3.530814{col 79}{space 3} 4.035208
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .77361815
                 {txt}sigma_e {c |} {res} .59753722
                     {txt}rho {c |} {res} .62633452{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg  EU  ATET i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,062
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,344

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0382{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0049{col 63}{txt}avg{col 67}={col 69}{res}       9.0
{txt}     Overall = {res}0.0165{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1343{txt}){col 67}={col 70}{res}    26.49
{txt}corr(u_i, Xb) = {res}0.0074{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,344} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          EU{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}   .04813{col 26}{space 2} .0315673{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-.0137966{col 67}{space 3} .1100566
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0205617{col 26}{space 2} .0349882{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.0891992{col 67}{space 3} .0480759
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .3442462{col 26}{space 2} .0373555{col 37}{space 1}    9.22{col 46}{space 3}0.000{col 54}{space 4} .2709647{col 67}{space 3} .4175277
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .2616148{col 26}{space 2} .0389328{col 37}{space 1}    6.72{col 46}{space 3}0.000{col 54}{space 4} .1852391{col 67}{space 3} .3379905
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .3564836{col 26}{space 2} .0374057{col 37}{space 1}    9.53{col 46}{space 3}0.000{col 54}{space 4} .2831037{col 67}{space 3} .4298635
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .4435656{col 26}{space 2} .0379726{col 37}{space 1}   11.68{col 46}{space 3}0.000{col 54}{space 4} .3690736{col 67}{space 3} .5180576
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .3411951{col 26}{space 2} .0409326{col 37}{space 1}    8.34{col 46}{space 3}0.000{col 54}{space 4} .2608962{col 67}{space 3}  .421494
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .4036456{col 26}{space 2} .0427532{col 37}{space 1}    9.44{col 46}{space 3}0.000{col 54}{space 4} .3197753{col 67}{space 3} .4875159
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .2866029{col 26}{space 2} .0418433{col 37}{space 1}    6.85{col 46}{space 3}0.000{col 54}{space 4} .2045176{col 67}{space 3} .3686881
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .1358344{col 26}{space 2} .0451973{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .0471695{col 67}{space 3} .2244993
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2801835{col 26}{space 2} .0447973{col 37}{space 1}    6.25{col 46}{space 3}0.000{col 54}{space 4} .1923033{col 67}{space 3} .3680637
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .1470086{col 26}{space 2} .0454748{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .0577993{col 67}{space 3}  .236218
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.390621{col 26}{space 2} .0306887{col 37}{space 1}  110.48{col 46}{space 3}0.000{col 54}{space 4} 3.330418{col 67}{space 3} 3.450824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .92762721
     {txt}sigma_e {c |} {res} .74920113
         {txt}rho {c |} {res} .60521559{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  EU ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,818
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,344

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0392{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0149{col 63}{txt}avg{col 67}={col 69}{res}       8.8
{txt}     Overall = {res}0.0252{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1343{txt}){col 67}={col 70}{res}    13.36
{txt}corr(u_i, Xb) = {res}0.0057{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,344} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      EU{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0356215{col 38}{space 2} .0320568{col 49}{space 1}    1.11{col 58}{space 3}0.267{col 66}{space 4}-.0272655{col 79}{space 3} .0985084
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.2190244{col 38}{space 2} .1150786{col 49}{space 1}   -1.90{col 58}{space 3}0.057{col 66}{space 4}-.4447778{col 79}{space 3} .0067289
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0142197{col 38}{space 2} .1384543{col 49}{space 1}    0.10{col 58}{space 3}0.918{col 66}{space 4}-.2573905{col 79}{space 3}   .28583
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.1506127{col 38}{space 2} .1173875{col 49}{space 1}   -1.28{col 58}{space 3}0.200{col 66}{space 4}-.3808956{col 79}{space 3} .0796701
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.3155644{col 38}{space 2} .1460724{col 49}{space 1}   -2.16{col 58}{space 3}0.031{col 66}{space 4}-.6021194{col 79}{space 3}-.0290095
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.2351999{col 38}{space 2}  .258677{col 49}{space 1}   -0.91{col 58}{space 3}0.363{col 66}{space 4}-.7426548{col 79}{space 3} .2722551
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0162173{col 38}{space 2} .0197473{col 49}{space 1}   -0.82{col 58}{space 3}0.412{col 66}{space 4}-.0549562{col 79}{space 3} .0225215
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0600957{col 38}{space 2} .0762258{col 49}{space 1}   -0.79{col 58}{space 3}0.431{col 66}{space 4}-.2096302{col 79}{space 3} .0894388
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0423469{col 38}{space 2} .0438599{col 49}{space 1}    0.97{col 58}{space 3}0.334{col 66}{space 4}-.0436946{col 79}{space 3} .1283883
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .1195495{col 38}{space 2} .1548758{col 49}{space 1}    0.77{col 58}{space 3}0.440{col 66}{space 4}-.1842753{col 79}{space 3} .4233744
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0189008{col 38}{space 2} .0670747{col 49}{space 1}   -0.28{col 58}{space 3}0.778{col 66}{space 4}-.1504833{col 79}{space 3} .1126817
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0249328{col 38}{space 2} .0529373{col 49}{space 1}    0.47{col 58}{space 3}0.638{col 66}{space 4}-.0789161{col 79}{space 3} .1287817
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}-.0492293{col 38}{space 2} .0303503{col 49}{space 1}   -1.62{col 58}{space 3}0.105{col 66}{space 4}-.1087685{col 79}{space 3} .0103099
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0239127{col 38}{space 2} .0354203{col 49}{space 1}   -0.68{col 58}{space 3}0.500{col 66}{space 4}-.0933979{col 79}{space 3} .0455725
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .3228329{col 38}{space 2} .0378362{col 49}{space 1}    8.53{col 58}{space 3}0.000{col 66}{space 4} .2486083{col 79}{space 3} .3970574
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .2550618{col 38}{space 2} .0394089{col 49}{space 1}    6.47{col 58}{space 3}0.000{col 66}{space 4} .1777521{col 79}{space 3} .3323715
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .3437573{col 38}{space 2} .0377051{col 49}{space 1}    9.12{col 58}{space 3}0.000{col 66}{space 4} .2697899{col 79}{space 3} .4177247
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .4301193{col 38}{space 2} .0382955{col 49}{space 1}   11.23{col 58}{space 3}0.000{col 66}{space 4} .3549938{col 79}{space 3} .5052448
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3354512{col 38}{space 2} .0416978{col 49}{space 1}    8.04{col 58}{space 3}0.000{col 66}{space 4} .2536514{col 79}{space 3} .4172511
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3981335{col 38}{space 2}  .044028{col 49}{space 1}    9.04{col 58}{space 3}0.000{col 66}{space 4} .3117624{col 79}{space 3} .4845046
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .2846895{col 38}{space 2} .0429787{col 49}{space 1}    6.62{col 58}{space 3}0.000{col 66}{space 4} .2003769{col 79}{space 3} .3690021
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .1346484{col 38}{space 2} .0467881{col 49}{space 1}    2.88{col 58}{space 3}0.004{col 66}{space 4} .0428627{col 79}{space 3}  .226434
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .2823977{col 38}{space 2} .0469381{col 49}{space 1}    6.02{col 58}{space 3}0.000{col 66}{space 4} .1903176{col 79}{space 3} .3744777
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1478177{col 38}{space 2} .0474401{col 49}{space 1}    3.12{col 58}{space 3}0.002{col 66}{space 4}  .054753{col 79}{space 3} .2408825
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.718129{col 38}{space 2}  .186825{col 49}{space 1}   19.90{col 58}{space 3}0.000{col 66}{space 4} 3.351628{col 79}{space 3} 4.084629
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .92634364
                 {txt}sigma_e {c |} {res} .74767191
                     {txt}rho {c |} {res} .60553024{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg leftright ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,486
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,323

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0031{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0005{col 63}{txt}avg{col 67}={col 69}{res}       8.7
{txt}     Overall = {res}0.0005{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1322{txt}){col 67}={col 70}{res}     2.61
{txt}corr(u_i, Xb) = {res}-0.0051{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0020

{txt}{ralign 78:(Std. err. adjusted for {res:1,323} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   leftright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0138538{col 26}{space 2} .0491817{col 37}{space 1}    0.28{col 46}{space 3}0.778{col 54}{space 4}-.0826289{col 67}{space 3} .1103366
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1351847{col 26}{space 2} .0551676{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .0269591{col 67}{space 3} .2434102
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .1701422{col 26}{space 2} .0579214{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} .0565144{col 67}{space 3} .2837701
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .1013313{col 26}{space 2} .0570101{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.0105089{col 67}{space 3} .2131715
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .0427182{col 26}{space 2} .0575195{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.0701213{col 67}{space 3} .1555576
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .0690005{col 26}{space 2} .0540237{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4} -.036981{col 67}{space 3} .1749821
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0854865{col 26}{space 2} .0593299{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.0309046{col 67}{space 3} .2018776
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .0571929{col 26}{space 2} .0600575{col 37}{space 1}    0.95{col 46}{space 3}0.341{col 54}{space 4}-.0606255{col 67}{space 3} .1750113
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0232589{col 26}{space 2} .0617382{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4}-.0978566{col 67}{space 3} .1443744
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0301397{col 26}{space 2} .0637512{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-.0949248{col 67}{space 3} .1552042
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .0932044{col 26}{space 2} .0655531{col 37}{space 1}    1.42{col 46}{space 3}0.155{col 54}{space 4}-.0353952{col 67}{space 3} .2218039
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .2365018{col 26}{space 2} .0703104{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .0985697{col 67}{space 3} .3744338
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.995927{col 26}{space 2}  .044265{col 37}{space 1}  112.86{col 46}{space 3}0.000{col 54}{space 4}  4.90909{col 67}{space 3} 5.082764
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  1.930028
     {txt}sigma_e {c |} {res} 1.1317902
         {txt}rho {c |} {res} .74411504{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est9{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  leftright ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,270
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,321

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0073{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0008{col 63}{txt}avg{col 67}={col 69}{res}       8.5
{txt}     Overall = {res}0.0019{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1320{txt}){col 67}={col 70}{res}     2.58
{txt}corr(u_i, Xb) = {res}-0.0714{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,321} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}               leftright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0283426{col 38}{space 2} .0490942{col 49}{space 1}    0.58{col 58}{space 3}0.564{col 66}{space 4}-.0679685{col 79}{space 3} .1246537
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0959651{col 38}{space 2} .1715174{col 49}{space 1}   -0.56{col 58}{space 3}0.576{col 66}{space 4}-.4324416{col 79}{space 3} .2405115
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0038196{col 38}{space 2} .3183784{col 49}{space 1}    0.01{col 58}{space 3}0.990{col 66}{space 4}-.6207633{col 79}{space 3} .6284025
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .3441983{col 38}{space 2} .2154659{col 49}{space 1}    1.60{col 58}{space 3}0.110{col 66}{space 4}-.0784946{col 79}{space 3} .7668912
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .2747875{col 38}{space 2} .2172555{col 49}{space 1}    1.26{col 58}{space 3}0.206{col 66}{space 4}-.1514162{col 79}{space 3} .7009912
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.2894119{col 38}{space 2} .5049034{col 49}{space 1}   -0.57{col 58}{space 3}0.567{col 66}{space 4}-1.279913{col 79}{space 3} .7010887
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .082637{col 38}{space 2} .0284684{col 49}{space 1}    2.90{col 58}{space 3}0.004{col 66}{space 4} .0267888{col 79}{space 3} .1384852
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0625429{col 38}{space 2} .0960708{col 49}{space 1}   -0.65{col 58}{space 3}0.515{col 66}{space 4}-.2510111{col 79}{space 3} .1259252
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1412969{col 38}{space 2} .0745309{col 49}{space 1}   -1.90{col 58}{space 3}0.058{col 66}{space 4}-.2875089{col 79}{space 3}  .004915
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0266724{col 38}{space 2} .3375123{col 49}{space 1}    0.08{col 58}{space 3}0.937{col 66}{space 4}-.6354467{col 79}{space 3} .6887914
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0181632{col 38}{space 2} .1008919{col 49}{space 1}   -0.18{col 58}{space 3}0.857{col 66}{space 4}-.2160892{col 79}{space 3} .1797629
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0392783{col 38}{space 2} .0737351{col 49}{space 1}    0.53{col 58}{space 3}0.594{col 66}{space 4}-.1053725{col 79}{space 3} .1839291
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}-.0246106{col 38}{space 2} .0446759{col 49}{space 1}   -0.55{col 58}{space 3}0.582{col 66}{space 4}-.1122541{col 79}{space 3}  .063033
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1280911{col 38}{space 2} .0552692{col 49}{space 1}    2.32{col 58}{space 3}0.021{col 66}{space 4} .0196661{col 79}{space 3} .2365161
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1751135{col 38}{space 2} .0583633{col 49}{space 1}    3.00{col 58}{space 3}0.003{col 66}{space 4} .0606185{col 79}{space 3} .2896086
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0922151{col 38}{space 2} .0576137{col 49}{space 1}    1.60{col 58}{space 3}0.110{col 66}{space 4}-.0208093{col 79}{space 3} .2052394
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0404233{col 38}{space 2} .0578473{col 49}{space 1}    0.70{col 58}{space 3}0.485{col 66}{space 4}-.0730593{col 79}{space 3}  .153906
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0740183{col 38}{space 2} .0547525{col 49}{space 1}    1.35{col 58}{space 3}0.177{col 66}{space 4}-.0333931{col 79}{space 3} .1814297
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  .058611{col 38}{space 2} .0605112{col 49}{space 1}    0.97{col 58}{space 3}0.333{col 66}{space 4}-.0600976{col 79}{space 3} .1773196
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}  .033429{col 38}{space 2} .0613084{col 49}{space 1}    0.55{col 58}{space 3}0.586{col 66}{space 4}-.0868436{col 79}{space 3} .1537016
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0158633{col 38}{space 2} .0637196{col 49}{space 1}   -0.25{col 58}{space 3}0.803{col 66}{space 4} -.140866{col 79}{space 3} .1091394
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0041701{col 38}{space 2} .0649715{col 49}{space 1}   -0.06{col 58}{space 3}0.949{col 66}{space 4}-.1316287{col 79}{space 3} .1232885
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0468743{col 38}{space 2} .0673186{col 49}{space 1}    0.70{col 58}{space 3}0.486{col 66}{space 4}-.0851888{col 79}{space 3} .1789374
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1964698{col 38}{space 2} .0739172{col 49}{space 1}    2.66{col 58}{space 3}0.008{col 66}{space 4} .0514618{col 79}{space 3} .3414778
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 4.347742{col 38}{space 2} .2778875{col 49}{space 1}   15.65{col 58}{space 3}0.000{col 66}{space 4} 3.802592{col 79}{space 3} 4.892891
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9362963
                 {txt}sigma_e {c |} {res} 1.1259936
                     {txt}rho {c |} {res}  .7472922{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est10{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    
. esttab using "regression2b.tex", replace f  ///
>  b(2) se(2) ///
>  keep(ATET ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of energy poverty on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must adapt" "Oppose EU Integration" "Left-Right" , pattern(1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression2b.tex"'})

{com}.  
.  * Appendix table with all observations, energy poverty
.  esttab using "regression2bappendix.tex", replace f  ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of energy poverty on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must adapt" "Oppose EU Integration" "Left-Right" , pattern(1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression2bappendix.tex"'})

{com}.  
. 
.   *Using estout package for LatexTables           
. est clear
{res}{txt}
{com}.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET  i.year if include==1 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    35589
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     4903

{txt}R-sq:  Within  = {res}0.0105                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0038                                        {txt}avg = {res}      7.3
{txt}       Overall = {res}0.0056                                        {txt}max = {res}       12

                                                {txt}F({res}12{txt},{res}4902{txt})         = {res}    19.77
{txt}corr(u_i, Xb)  = {res}0.0144                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:4,903} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0178515{col 26}{space 2} .0075097{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .0031291{col 67}{space 3} .0325738
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0255003{col 26}{space 2} .0063291{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .0130923{col 67}{space 3} .0379082
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} -.010958{col 26}{space 2} .0068353{col 37}{space 1}   -1.60{col 46}{space 3}0.109{col 54}{space 4}-.0243583{col 67}{space 3} .0024423
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0300626{col 26}{space 2} .0066968{col 37}{space 1}   -4.49{col 46}{space 3}0.000{col 54}{space 4}-.0431914{col 67}{space 3}-.0169339
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0384721{col 26}{space 2} .0067726{col 37}{space 1}   -5.68{col 46}{space 3}0.000{col 54}{space 4}-.0517495{col 67}{space 3}-.0251947
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0274614{col 26}{space 2} .0068206{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-.0408328{col 67}{space 3}  -.01409
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0031001{col 26}{space 2} .0068999{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-.0104267{col 67}{space 3} .0166269
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0004042{col 26}{space 2}  .007196{col 37}{space 1}   -0.06{col 46}{space 3}0.955{col 54}{space 4}-.0145115{col 67}{space 3} .0137031
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0057341{col 26}{space 2}  .007411{col 37}{space 1}    0.77{col 46}{space 3}0.439{col 54}{space 4}-.0087949{col 67}{space 3} .0202631
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0301896{col 26}{space 2} .0079294{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} .0146444{col 67}{space 3} .0457348
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .0056508{col 26}{space 2} .0077639{col 37}{space 1}    0.73{col 46}{space 3}0.467{col 54}{space 4}-.0095699{col 67}{space 3} .0208716
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0211671{col 26}{space 2} .0076966{col 37}{space 1}   -2.75{col 46}{space 3}0.006{col 54}{space 4}-.0362558{col 67}{space 3}-.0060783
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1442791{col 26}{space 2}  .005528{col 37}{space 1}   26.10{col 46}{space 3}0.000{col 54}{space 4} .1334417{col 67}{space 3} .1551165
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .28276921
     {txt}sigma_e {c |} {res} .22037361
         {txt}rho {c |} {res} .62213344{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  extremeright ATET i.oplcat   lninc i.employ renter  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    32742
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     4630

{txt}R-sq:  Within  = {res}0.0115                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0016                                        {txt}avg = {res}      7.1
{txt}       Overall = {res}0.0003                                        {txt}max = {res}       12

                                                {txt}F({res}24{txt},{res}4629{txt})         = {res}     9.68
{txt}corr(u_i, Xb)  = {res}-0.0839                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:4,630} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}  .017517{col 38}{space 2} .0079064{col 49}{space 1}    2.22{col 58}{space 3}0.027{col 66}{space 4} .0020166{col 79}{space 3} .0330173
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0246776{col 38}{space 2} .0296675{col 49}{space 1}   -0.83{col 58}{space 3}0.406{col 66}{space 4}-.0828401{col 79}{space 3} .0334849
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0094608{col 38}{space 2} .0289723{col 49}{space 1}    0.33{col 58}{space 3}0.744{col 66}{space 4}-.0473388{col 79}{space 3} .0662604
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0244863{col 38}{space 2} .0284265{col 49}{space 1}    0.86{col 58}{space 3}0.389{col 66}{space 4}-.0312432{col 79}{space 3} .0802159
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0165664{col 38}{space 2} .0253691{col 49}{space 1}    0.65{col 58}{space 3}0.514{col 66}{space 4}-.0331692{col 79}{space 3}  .066302
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0065774{col 38}{space 2} .0274559{col 49}{space 1}   -0.24{col 58}{space 3}0.811{col 66}{space 4}-.0604041{col 79}{space 3} .0472493
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .001544{col 38}{space 2}  .003031{col 49}{space 1}    0.51{col 58}{space 3}0.610{col 66}{space 4}-.0043982{col 79}{space 3} .0074862
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0085955{col 38}{space 2} .0135062{col 49}{space 1}    0.64{col 58}{space 3}0.525{col 66}{space 4}-.0178831{col 79}{space 3}  .035074
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0132524{col 38}{space 2} .0089947{col 49}{space 1}    1.47{col 58}{space 3}0.141{col 66}{space 4}-.0043815{col 79}{space 3} .0308864
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0149765{col 38}{space 2} .0192444{col 49}{space 1}    0.78{col 58}{space 3}0.436{col 66}{space 4}-.0227516{col 79}{space 3} .0527046
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}  .009818{col 38}{space 2} .0126489{col 49}{space 1}    0.78{col 58}{space 3}0.438{col 66}{space 4}-.0149799{col 79}{space 3}  .034616
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0127822{col 38}{space 2} .0081894{col 49}{space 1}    1.56{col 58}{space 3}0.119{col 66}{space 4} -.003273{col 79}{space 3} .0288373
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}  .003874{col 38}{space 2} .0052551{col 49}{space 1}    0.74{col 58}{space 3}0.461{col 66}{space 4}-.0064284{col 79}{space 3} .0141765
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}  .025009{col 38}{space 2} .0064464{col 49}{space 1}    3.88{col 58}{space 3}0.000{col 66}{space 4} .0123711{col 79}{space 3} .0376469
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} -.013657{col 38}{space 2} .0071002{col 49}{space 1}   -1.92{col 58}{space 3}0.054{col 66}{space 4}-.0275768{col 79}{space 3} .0002628
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0323009{col 38}{space 2} .0070117{col 49}{space 1}   -4.61{col 58}{space 3}0.000{col 66}{space 4}-.0460472{col 79}{space 3}-.0185546
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}  -.03979{col 38}{space 2}  .007116{col 49}{space 1}   -5.59{col 58}{space 3}0.000{col 66}{space 4}-.0537407{col 79}{space 3}-.0258393
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0308931{col 38}{space 2}  .007188{col 49}{space 1}   -4.30{col 58}{space 3}0.000{col 66}{space 4}-.0449851{col 79}{space 3}-.0168011
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0019771{col 38}{space 2} .0073615{col 49}{space 1}    0.27{col 58}{space 3}0.788{col 66}{space 4} -.012455{col 79}{space 3} .0164092
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0008134{col 38}{space 2} .0077525{col 49}{space 1}   -0.10{col 58}{space 3}0.916{col 66}{space 4} -.016012{col 79}{space 3} .0143852
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0051517{col 38}{space 2} .0079556{col 49}{space 1}    0.65{col 58}{space 3}0.517{col 66}{space 4}-.0104451{col 79}{space 3} .0207485
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0269473{col 38}{space 2} .0085097{col 49}{space 1}    3.17{col 58}{space 3}0.002{col 66}{space 4} .0102641{col 79}{space 3} .0436304
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0012297{col 38}{space 2} .0084766{col 49}{space 1}    0.15{col 58}{space 3}0.885{col 66}{space 4}-.0153885{col 79}{space 3} .0178478
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0250099{col 38}{space 2} .0085213{col 49}{space 1}   -2.93{col 58}{space 3}0.003{col 66}{space 4}-.0417157{col 79}{space 3}-.0083041
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}  .118661{col 38}{space 2} .0326985{col 49}{space 1}    3.63{col 58}{space 3}0.000{col 66}{space 4} .0545564{col 79}{space 3} .1827656
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .28395342
                 {txt}sigma_e {c |} {res} .21920965
                     {txt}rho {c |} {res} .62657779{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET epov i.year if include2==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    36,155
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     4,907

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0102{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0034{col 63}{txt}avg{col 67}={col 69}{res}       7.4
{txt}     Overall = {res}0.0052{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}4906{txt}){col 67}={col 70}{res}    18.46
{txt}corr(u_i, Xb) = {res}0.0122{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:4,907} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0201183{col 26}{space 2} .0090298{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0024158{col 67}{space 3} .0378208
{txt}{space 8}epov {c |}{col 14}{res}{space 2}-.0034604{col 26}{space 2} .0078445{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.0188392{col 67}{space 3} .0119184
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0259845{col 26}{space 2} .0062659{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} .0137006{col 67}{space 3} .0382684
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0089307{col 26}{space 2}   .00677{col 37}{space 1}   -1.32{col 46}{space 3}0.187{col 54}{space 4}-.0222029{col 67}{space 3} .0043416
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0297505{col 26}{space 2} .0066578{col 37}{space 1}   -4.47{col 46}{space 3}0.000{col 54}{space 4}-.0428028{col 67}{space 3}-.0166983
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0379789{col 26}{space 2} .0067182{col 37}{space 1}   -5.65{col 46}{space 3}0.000{col 54}{space 4}-.0511496{col 67}{space 3}-.0248082
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0269373{col 26}{space 2} .0067861{col 37}{space 1}   -3.97{col 46}{space 3}0.000{col 54}{space 4} -.040241{col 67}{space 3}-.0136336
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0028856{col 26}{space 2} .0068565{col 37}{space 1}    0.42{col 46}{space 3}0.674{col 54}{space 4}-.0105561{col 67}{space 3} .0163274
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0004518{col 26}{space 2} .0071688{col 37}{space 1}   -0.06{col 46}{space 3}0.950{col 54}{space 4} -.014506{col 67}{space 3} .0136023
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0044212{col 26}{space 2} .0073508{col 37}{space 1}    0.60{col 46}{space 3}0.548{col 54}{space 4}-.0099898{col 67}{space 3} .0188321
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0287802{col 26}{space 2} .0078246{col 37}{space 1}    3.68{col 46}{space 3}0.000{col 54}{space 4} .0134404{col 67}{space 3}   .04412
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .0046963{col 26}{space 2} .0076727{col 37}{space 1}    0.61{col 46}{space 3}0.541{col 54}{space 4}-.0103455{col 67}{space 3} .0197381
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0219211{col 26}{space 2} .0076019{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4}-.0368242{col 67}{space 3}-.0070181
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  .144607{col 26}{space 2} .0055378{col 37}{space 1}   26.11{col 46}{space 3}0.000{col 54}{space 4} .1337504{col 67}{space 3} .1554636
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  .2819703
     {txt}sigma_e {c |} {res} .22053648
         {txt}rho {c |} {res} .62045437{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  extremeright ATET epov i.oplcat   lninc i.employ renter i.year if include2==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    33,273
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     4,634

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0112{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0016{col 63}{txt}avg{col 67}={col 69}{res}       7.2
{txt}     Overall = {res}0.0002{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}25{txt},{res}4633{txt}){col 67}={col 70}{res}     9.42
{txt}corr(u_i, Xb) = {res}-0.0878{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:4,634} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0181569{col 38}{space 2} .0094674{col 49}{space 1}    1.92{col 58}{space 3}0.055{col 66}{space 4}-.0004037{col 79}{space 3} .0367175
{txt}{space 20}epov {c |}{col 26}{res}{space 2}-.0012596{col 38}{space 2} .0082673{col 49}{space 1}   -0.15{col 58}{space 3}0.879{col 66}{space 4}-.0174674{col 79}{space 3} .0149483
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0253101{col 38}{space 2} .0299079{col 49}{space 1}   -0.85{col 58}{space 3}0.397{col 66}{space 4}-.0839439{col 79}{space 3} .0333237
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0125563{col 38}{space 2} .0284546{col 49}{space 1}    0.44{col 58}{space 3}0.659{col 66}{space 4}-.0432282{col 79}{space 3} .0683408
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0246847{col 38}{space 2} .0284644{col 49}{space 1}    0.87{col 58}{space 3}0.386{col 66}{space 4}-.0311191{col 79}{space 3} .0804885
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0190087{col 38}{space 2} .0255851{col 49}{space 1}    0.74{col 58}{space 3}0.458{col 66}{space 4}-.0311503{col 79}{space 3} .0691676
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0115095{col 38}{space 2} .0275406{col 49}{space 1}   -0.42{col 58}{space 3}0.676{col 66}{space 4}-.0655022{col 79}{space 3} .0424833
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0010673{col 38}{space 2} .0029166{col 49}{space 1}    0.37{col 58}{space 3}0.714{col 66}{space 4}-.0046507{col 79}{space 3} .0067853
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0082633{col 38}{space 2} .0134027{col 49}{space 1}    0.62{col 58}{space 3}0.538{col 66}{space 4}-.0180123{col 79}{space 3}  .034539
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0132774{col 38}{space 2} .0088658{col 49}{space 1}    1.50{col 58}{space 3}0.134{col 66}{space 4}-.0041037{col 79}{space 3} .0306586
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0145516{col 38}{space 2} .0184632{col 49}{space 1}    0.79{col 58}{space 3}0.431{col 66}{space 4}-.0216451{col 79}{space 3} .0507483
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0080402{col 38}{space 2} .0126401{col 49}{space 1}    0.64{col 58}{space 3}0.525{col 66}{space 4}-.0167404{col 79}{space 3} .0328208
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0119416{col 38}{space 2} .0080468{col 49}{space 1}    1.48{col 58}{space 3}0.138{col 66}{space 4} -.003834{col 79}{space 3} .0277173
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0025589{col 38}{space 2} .0052464{col 49}{space 1}    0.49{col 58}{space 3}0.626{col 66}{space 4}-.0077265{col 79}{space 3} .0128443
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0251823{col 38}{space 2} .0064018{col 49}{space 1}    3.93{col 58}{space 3}0.000{col 66}{space 4} .0126317{col 79}{space 3} .0377329
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0120027{col 38}{space 2} .0070444{col 49}{space 1}   -1.70{col 58}{space 3}0.088{col 66}{space 4}-.0258131{col 79}{space 3} .0018077
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0320321{col 38}{space 2} .0069658{col 49}{space 1}   -4.60{col 58}{space 3}0.000{col 66}{space 4}-.0456884{col 79}{space 3}-.0183757
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0394151{col 38}{space 2} .0070676{col 49}{space 1}   -5.58{col 58}{space 3}0.000{col 66}{space 4} -.053271{col 79}{space 3}-.0255592
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} -.030555{col 38}{space 2} .0071541{col 49}{space 1}   -4.27{col 58}{space 3}0.000{col 66}{space 4}-.0445804{col 79}{space 3}-.0165295
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0019666{col 38}{space 2} .0073104{col 49}{space 1}    0.27{col 58}{space 3}0.788{col 66}{space 4}-.0123652{col 79}{space 3} .0162985
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0005678{col 38}{space 2} .0077198{col 49}{space 1}   -0.07{col 58}{space 3}0.941{col 66}{space 4}-.0157023{col 79}{space 3} .0145667
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0042951{col 38}{space 2} .0078873{col 49}{space 1}    0.54{col 58}{space 3}0.586{col 66}{space 4}-.0111677{col 79}{space 3} .0197579
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0255027{col 38}{space 2} .0084206{col 49}{space 1}    3.03{col 58}{space 3}0.002{col 66}{space 4} .0089944{col 79}{space 3}  .042011
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0011138{col 38}{space 2} .0083605{col 49}{space 1}    0.13{col 58}{space 3}0.894{col 66}{space 4}-.0152769{col 79}{space 3} .0175044
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0249784{col 38}{space 2} .0084074{col 49}{space 1}   -2.97{col 58}{space 3}0.003{col 66}{space 4}-.0414608{col 79}{space 3} -.008496
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1231995{col 38}{space 2} .0321861{col 49}{space 1}    3.83{col 58}{space 3}0.000{col 66}{space 4} .0600995{col 79}{space 3} .1862996
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .28323501
                 {txt}sigma_e {c |} {res}  .2193235
                     {txt}rho {c |} {res} .62514828{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET  i.year if include==1 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    38086
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     4915

{txt}R-sq:  Within  = {res}0.0135                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0137                                        {txt}avg = {res}      7.7
{txt}       Overall = {res}0.0077                                        {txt}max = {res}       11

                                                {txt}F({res}11{txt},{res}4914{txt})         = {res}    45.12
{txt}corr(u_i, Xb)  = {res}0.0389                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:4,915} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}  .247292{col 26}{space 2} .0505995{col 37}{space 1}    4.89{col 46}{space 3}0.000{col 54}{space 4} .1480943{col 67}{space 3} .3464896
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1324879{col 26}{space 2} .0400585{col 37}{space 1}    3.31{col 46}{space 3}0.001{col 54}{space 4} .0539554{col 67}{space 3} .2110204
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .5348493{col 26}{space 2} .0424235{col 37}{space 1}   12.61{col 46}{space 3}0.000{col 54}{space 4} .4516803{col 67}{space 3} .6180183
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2685715{col 26}{space 2} .0445087{col 37}{space 1}    6.03{col 46}{space 3}0.000{col 54}{space 4} .1813146{col 67}{space 3} .3558285
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .4765364{col 26}{space 2} .0447857{col 37}{space 1}   10.64{col 46}{space 3}0.000{col 54}{space 4} .3887364{col 67}{space 3} .5643365
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}  .317446{col 26}{space 2}  .046778{col 37}{space 1}    6.79{col 46}{space 3}0.000{col 54}{space 4} .2257403{col 67}{space 3} .4091517
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3350823{col 26}{space 2} .0485265{col 37}{space 1}    6.91{col 46}{space 3}0.000{col 54}{space 4} .2399486{col 67}{space 3}  .430216
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0373292{col 26}{space 2} .0490634{col 37}{space 1}   -0.76{col 46}{space 3}0.447{col 54}{space 4}-.1335153{col 67}{space 3} .0588569
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .3722161{col 26}{space 2} .0507844{col 37}{space 1}    7.33{col 46}{space 3}0.000{col 54}{space 4}  .272656{col 67}{space 3} .4717762
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2645542{col 26}{space 2} .0510886{col 37}{space 1}    5.18{col 46}{space 3}0.000{col 54}{space 4} .1643978{col 67}{space 3} .3647107
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .2513033{col 26}{space 2} .0534964{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .1464264{col 67}{space 3} .3561803
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.344716{col 26}{space 2} .0366751{col 37}{space 1}  -63.93{col 46}{space 3}0.000{col 54}{space 4}-2.416616{col 67}{space 3}-2.272817
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.1031193
     {txt}sigma_e {c |} {res} 1.5631332
         {txt}rho {c |} {res} .79761127{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  PVVsympmean ATET i.oplcat   lninc i.employ renter  i.year if include==1 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    34986
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     4673

{txt}R-sq:  Within  = {res}0.0168                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0887                                        {txt}avg = {res}      7.5
{txt}       Overall = {res}0.0661                                        {txt}max = {res}       11

                                                {txt}F({res}23{txt},{res}4672{txt})         = {res}    22.57
{txt}corr(u_i, Xb)  = {res}0.1776                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:4,673} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2240559{col 38}{space 2} .0521114{col 49}{space 1}    4.30{col 58}{space 3}0.000{col 66}{space 4}  .121893{col 79}{space 3} .3262188
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} -.100337{col 38}{space 2} .2000045{col 49}{space 1}   -0.50{col 58}{space 3}0.616{col 66}{space 4}-.4924403{col 79}{space 3} .2917662
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.1755464{col 38}{space 2} .2095546{col 49}{space 1}   -0.84{col 58}{space 3}0.402{col 66}{space 4}-.5863723{col 79}{space 3} .2352795
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0865803{col 38}{space 2} .1978945{col 49}{space 1}   -0.44{col 58}{space 3}0.662{col 66}{space 4} -.474547{col 79}{space 3} .3013864
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.4644422{col 38}{space 2} .2040989{col 49}{space 1}   -2.28{col 58}{space 3}0.023{col 66}{space 4}-.8645725{col 79}{space 3} -.064312
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.8766093{col 38}{space 2} .2406226{col 49}{space 1}   -3.64{col 58}{space 3}0.000{col 66}{space 4}-1.348343{col 79}{space 3}-.4048755
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0016509{col 38}{space 2} .0251903{col 49}{space 1}    0.07{col 58}{space 3}0.948{col 66}{space 4}-.0477339{col 79}{space 3} .0510357
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0866947{col 38}{space 2} .1014962{col 49}{space 1}    0.85{col 58}{space 3}0.393{col 66}{space 4}-.1122857{col 79}{space 3} .2856751
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}  .087115{col 38}{space 2} .0705057{col 49}{space 1}    1.24{col 58}{space 3}0.217{col 66}{space 4}-.0511094{col 79}{space 3} .2253393
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .2988573{col 38}{space 2} .1262739{col 49}{space 1}    2.37{col 58}{space 3}0.018{col 66}{space 4} .0513009{col 79}{space 3} .5464138
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1461081{col 38}{space 2} .1144286{col 49}{space 1}    1.28{col 58}{space 3}0.202{col 66}{space 4}-.0782259{col 79}{space 3} .3704421
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1233765{col 38}{space 2} .0661325{col 49}{space 1}    1.87{col 58}{space 3}0.062{col 66}{space 4}-.0062744{col 79}{space 3} .2530275
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0143594{col 38}{space 2} .0361682{col 49}{space 1}    0.40{col 58}{space 3}0.691{col 66}{space 4}-.0565473{col 79}{space 3} .0852661
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1218373{col 38}{space 2} .0411223{col 49}{space 1}    2.96{col 58}{space 3}0.003{col 66}{space 4} .0412183{col 79}{space 3} .2024563
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5177143{col 38}{space 2} .0442448{col 49}{space 1}   11.70{col 58}{space 3}0.000{col 66}{space 4} .4309735{col 79}{space 3}  .604455
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2640751{col 38}{space 2}  .045936{col 49}{space 1}    5.75{col 58}{space 3}0.000{col 66}{space 4} .1740188{col 79}{space 3} .3541314
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .4827723{col 38}{space 2} .0462569{col 49}{space 1}   10.44{col 58}{space 3}0.000{col 66}{space 4} .3920869{col 79}{space 3} .5734577
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3255099{col 38}{space 2} .0489551{col 49}{space 1}    6.65{col 58}{space 3}0.000{col 66}{space 4} .2295348{col 79}{space 3}  .421485
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3562568{col 38}{space 2} .0509568{col 49}{space 1}    6.99{col 58}{space 3}0.000{col 66}{space 4} .2563574{col 79}{space 3} .4561561
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0297904{col 38}{space 2} .0517308{col 49}{space 1}   -0.58{col 58}{space 3}0.565{col 66}{space 4}-.1312072{col 79}{space 3} .0716265
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4005539{col 38}{space 2} .0538186{col 49}{space 1}    7.44{col 58}{space 3}0.000{col 66}{space 4} .2950441{col 79}{space 3} .5060638
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .2706091{col 38}{space 2} .0549003{col 49}{space 1}    4.93{col 58}{space 3}0.000{col 66}{space 4} .1629787{col 79}{space 3} .3782396
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .2632269{col 38}{space 2} .0577713{col 49}{space 1}    4.56{col 58}{space 3}0.000{col 66}{space 4} .1499679{col 79}{space 3} .3764859
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.226492{col 38}{space 2} .2595768{col 49}{space 1}   -8.58{col 58}{space 3}0.000{col 66}{space 4}-2.735386{col 79}{space 3}-1.717599
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.0345274
                 {txt}sigma_e {c |} {res}  1.547161
                     {txt}rho {c |} {res} .79368263{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET epov i.year if include2==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    38,717
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     4,918

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0138{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0067{col 63}{txt}avg{col 67}={col 69}{res}       7.9
{txt}     Overall = {res}0.0051{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}4917{txt}){col 67}={col 70}{res}    42.58
{txt}corr(u_i, Xb) = {res}0.0210{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:4,918} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .3313957{col 26}{space 2} .0652035{col 37}{space 1}    5.08{col 46}{space 3}0.000{col 54}{space 4} .2035677{col 67}{space 3} .4592237
{txt}{space 8}epov {c |}{col 14}{res}{space 2}-.1303875{col 26}{space 2}  .060741{col 37}{space 1}   -2.15{col 46}{space 3}0.032{col 54}{space 4} -.249467{col 67}{space 3}-.0113081
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1421589{col 26}{space 2} .0395899{col 37}{space 1}    3.59{col 46}{space 3}0.000{col 54}{space 4} .0645449{col 67}{space 3} .2197728
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .5364656{col 26}{space 2} .0420817{col 37}{space 1}   12.75{col 46}{space 3}0.000{col 54}{space 4} .4539666{col 67}{space 3} .6189646
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2732013{col 26}{space 2} .0441888{col 37}{space 1}    6.18{col 46}{space 3}0.000{col 54}{space 4} .1865715{col 67}{space 3} .3598312
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .4885206{col 26}{space 2} .0446316{col 37}{space 1}   10.95{col 46}{space 3}0.000{col 54}{space 4} .4010228{col 67}{space 3} .5760184
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .3098148{col 26}{space 2} .0461786{col 37}{space 1}    6.71{col 46}{space 3}0.000{col 54}{space 4}  .219284{col 67}{space 3} .4003455
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3275183{col 26}{space 2} .0476939{col 37}{space 1}    6.87{col 46}{space 3}0.000{col 54}{space 4} .2340168{col 67}{space 3} .4210197
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0534212{col 26}{space 2} .0484702{col 37}{space 1}   -1.10{col 46}{space 3}0.270{col 54}{space 4}-.1484444{col 67}{space 3}  .041602
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}  .364428{col 26}{space 2} .0500279{col 37}{space 1}    7.28{col 46}{space 3}0.000{col 54}{space 4} .2663511{col 67}{space 3}  .462505
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2591018{col 26}{space 2} .0502343{col 37}{space 1}    5.16{col 46}{space 3}0.000{col 54}{space 4} .1606202{col 67}{space 3} .3575834
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .2395656{col 26}{space 2} .0526519{col 37}{space 1}    4.55{col 46}{space 3}0.000{col 54}{space 4} .1363443{col 67}{space 3} .3427868
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.336609{col 26}{space 2} .0365149{col 37}{space 1}  -63.99{col 46}{space 3}0.000{col 54}{space 4}-2.408194{col 67}{space 3}-2.265023
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.1015257
     {txt}sigma_e {c |} {res} 1.5678459
         {txt}rho {c |} {res} .79647114{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  PVVsympmean ATET epov i.oplcat   lninc i.employ renter i.year if include2==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    35,580
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     4,679

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0173{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0785{col 63}{txt}avg{col 67}={col 69}{res}       7.6
{txt}     Overall = {res}0.0569{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}24{txt},{res}4678{txt}){col 67}={col 70}{res}    22.48
{txt}corr(u_i, Xb) = {res}0.1628{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:4,679} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .3139748{col 38}{space 2} .0668693{col 49}{space 1}    4.70{col 58}{space 3}0.000{col 66}{space 4} .1828795{col 79}{space 3} .4450702
{txt}{space 20}epov {c |}{col 26}{res}{space 2}-.1387488{col 38}{space 2} .0630583{col 49}{space 1}   -2.20{col 58}{space 3}0.028{col 66}{space 4}-.2623727{col 79}{space 3}-.0151248
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0940305{col 38}{space 2} .1989642{col 49}{space 1}   -0.47{col 58}{space 3}0.637{col 66}{space 4}-.4840942{col 79}{space 3} .2960332
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.1612014{col 38}{space 2} .2047288{col 49}{space 1}   -0.79{col 58}{space 3}0.431{col 66}{space 4}-.5625664{col 79}{space 3} .2401636
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0827813{col 38}{space 2} .1975556{col 49}{space 1}   -0.42{col 58}{space 3}0.675{col 66}{space 4}-.4700833{col 79}{space 3} .3045207
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.3766997{col 38}{space 2} .2060692{col 49}{space 1}   -1.83{col 58}{space 3}0.068{col 66}{space 4}-.7806925{col 79}{space 3} .0272931
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.8364595{col 38}{space 2} .2367288{col 49}{space 1}   -3.53{col 58}{space 3}0.000{col 66}{space 4}-1.300559{col 79}{space 3}-.3723596
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0122087{col 38}{space 2} .0232891{col 49}{space 1}   -0.52{col 58}{space 3}0.600{col 66}{space 4}-.0578662{col 79}{space 3} .0334488
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0911199{col 38}{space 2}  .101649{col 49}{space 1}    0.90{col 58}{space 3}0.370{col 66}{space 4}-.1081601{col 79}{space 3} .2903999
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .1207494{col 38}{space 2}  .071452{col 49}{space 1}    1.69{col 58}{space 3}0.091{col 66}{space 4}-.0193303{col 79}{space 3} .2608291
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .3161742{col 38}{space 2} .1215143{col 49}{space 1}    2.60{col 58}{space 3}0.009{col 66}{space 4} .0779488{col 79}{space 3} .5543995
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1438358{col 38}{space 2} .1129518{col 49}{space 1}    1.27{col 58}{space 3}0.203{col 66}{space 4}-.0776029{col 79}{space 3} .3652745
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}  .134753{col 38}{space 2} .0664805{col 49}{space 1}    2.03{col 58}{space 3}0.043{col 66}{space 4}   .00442{col 79}{space 3}  .265086
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0061799{col 38}{space 2} .0361516{col 49}{space 1}    0.17{col 58}{space 3}0.864{col 66}{space 4}-.0646943{col 79}{space 3}  .077054
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1296427{col 38}{space 2}  .040654{col 49}{space 1}    3.19{col 58}{space 3}0.001{col 66}{space 4} .0499418{col 79}{space 3} .2093436
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5187733{col 38}{space 2} .0438284{col 49}{space 1}   11.84{col 58}{space 3}0.000{col 66}{space 4}  .432849{col 79}{space 3} .6046976
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2696982{col 38}{space 2} .0456301{col 49}{space 1}    5.91{col 58}{space 3}0.000{col 66}{space 4} .1802417{col 79}{space 3} .3591547
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}  .495365{col 38}{space 2} .0460973{col 49}{space 1}   10.75{col 58}{space 3}0.000{col 66}{space 4} .4049925{col 79}{space 3} .5857375
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3161797{col 38}{space 2} .0484853{col 49}{space 1}    6.52{col 58}{space 3}0.000{col 66}{space 4} .2211257{col 79}{space 3} .4112336
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3471238{col 38}{space 2} .0501907{col 49}{space 1}    6.92{col 58}{space 3}0.000{col 66}{space 4} .2487264{col 79}{space 3} .4455213
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0456673{col 38}{space 2} .0512906{col 49}{space 1}   -0.89{col 58}{space 3}0.373{col 66}{space 4}-.1462211{col 79}{space 3} .0548865
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}  .390456{col 38}{space 2} .0531354{col 49}{space 1}    7.35{col 58}{space 3}0.000{col 66}{space 4} .2862856{col 79}{space 3} .4946264
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .2652857{col 38}{space 2} .0541432{col 49}{space 1}    4.90{col 58}{space 3}0.000{col 66}{space 4} .1591395{col 79}{space 3}  .371432
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .2494559{col 38}{space 2} .0570559{col 49}{space 1}    4.37{col 58}{space 3}0.000{col 66}{space 4} .1375995{col 79}{space 3} .3613123
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.140866{col 38}{space 2} .2477868{col 49}{space 1}   -8.64{col 58}{space 3}0.000{col 66}{space 4}-2.626645{col 79}{space 3}-1.655088
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.0413309
                 {txt}sigma_e {c |} {res} 1.5521651
                     {txt}rho {c |} {res} .79335834{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
. 
. 
. *Table with all the control variables
. 
.   *Table with all the control variables
.   esttab using "regression2appendixb.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression2appendixb.tex"'})

{com}. 
.  
.   
. **Chaisemartin et al methods
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. did_multiplegt extremeright nomem_encr year ATET if includenew==1, placebo(4) breps(50) cluster(nomem_encr)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0420661}}}{space 1}{space 1}{ralign 9:{res:{sf: .0139501}}}{space 1}{space 1}{ralign 9:{res:{sf: .0147239}}}{space 1}{space 1}{ralign 9:{res:{sf: .0694083}}}{space 1}{space 1}{ralign 9:{res:{sf:     4879}}}{space 1}{space 1}{ralign 9:{res:{sf:      826}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0167279}}}{space 1}{space 1}{ralign 9:{res:{sf: .0125103}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0412481}}}{space 1}{space 1}{ralign 9:{res:{sf: .0077924}}}{space 1}{space 1}{ralign 9:{res:{sf:     4228}}}{space 1}{space 1}{ralign 9:{res:{sf:      736}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0062285}}}{space 1}{space 1}{ralign 9:{res:{sf: .0150368}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0232435}}}{space 1}{space 1}{ralign 9:{res:{sf: .0357006}}}{space 1}{space 1}{ralign 9:{res:{sf:     3575}}}{space 1}{space 1}{ralign 9:{res:{sf:      535}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0013989}}}{space 1}{space 1}{ralign 9:{res:{sf: .0134861}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0278316}}}{space 1}{space 1}{ralign 9:{res:{sf: .0250338}}}{space 1}{space 1}{ralign 9:{res:{sf:     3318}}}{space 1}{space 1}{ralign 9:{res:{sf:      477}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0407384}}}{space 1}{space 1}{ralign 9:{res:{sf: .0141253}}}{space 1}{space 1}{ralign 9:{res:{sf: -.068424}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0130528}}}{space 1}{space 1}{ralign 9:{res:{sf:     2907}}}{space 1}{space 1}{ralign 9:{res:{sf:      410}}}{space 1}

{com}. 
. 
.  twowayfeweights extremeright nomem_encr year ATET if include2==1, type( feTR) 
{txt}Under the common trends assumption, beta estimates a weighted sum of 3537 ATTs. 
3484 ATTs receive a positive weight, and 53 receive a negative weight.
The sum of the positive weights is equal to 1.000237.
The sum of the negative weights is equal to -.00023693.
beta is compatible with a DGP where the average of those ATTs is equal to 0,
while their standard deviation is equal to .04876288.
beta is compatible with a DGP where those ATTs all are of a different sign than beta,
while their standard deviation is equal to 7.7735701.

{com}. 
. 
.  
.  *Same with other DVs
.  est clear
{res}{txt}
{com}.  xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  GL  ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    10,893
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,334

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0510{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0093{col 63}{txt}avg{col 67}={col 69}{res}       8.2
{txt}     Overall = {res}0.0179{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}11{txt},{res}1333{txt}){col 67}={col 70}{res}    42.95
{txt}corr(u_i, Xb) = {res}0.0029{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,334} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          GL{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.1993895{col 26}{space 2}  .067822{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4} -.332439{col 67}{space 3}  -.06634
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.1125613{col 26}{space 2} .0568041{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.2239964{col 67}{space 3}-.0011262
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}  .286057{col 26}{space 2} .0616341{col 37}{space 1}    4.64{col 46}{space 3}0.000{col 54}{space 4} .1651465{col 67}{space 3} .4069674
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.7593186{col 26}{space 2} .0676354{col 37}{space 1}  -11.23{col 46}{space 3}0.000{col 54}{space 4}-.8920021{col 67}{space 3}-.6266351
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.4853997{col 26}{space 2} .0665583{col 37}{space 1}   -7.29{col 46}{space 3}0.000{col 54}{space 4}-.6159701{col 67}{space 3}-.3548294
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.1301737{col 26}{space 2} .0731658{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.2737064{col 67}{space 3}  .013359
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.2268555{col 26}{space 2} .0780392{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-.3799485{col 67}{space 3}-.0737625
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} -.086271{col 26}{space 2} .0747365{col 37}{space 1}   -1.15{col 46}{space 3}0.249{col 54}{space 4} -.232885{col 67}{space 3}  .060343
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.1883003{col 26}{space 2} .0807548{col 37}{space 1}   -2.33{col 46}{space 3}0.020{col 54}{space 4}-.3467205{col 67}{space 3}  -.02988
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.5704441{col 26}{space 2} .0814694{col 37}{space 1}   -7.00{col 46}{space 3}0.000{col 54}{space 4}-.7302663{col 67}{space 3}-.4106219
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.6151938{col 26}{space 2} .0825932{col 37}{space 1}   -7.45{col 46}{space 3}0.000{col 54}{space 4}-.7772207{col 67}{space 3}-.4531669
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.097155{col 26}{space 2}   .05284{col 37}{space 1}   96.46{col 46}{space 3}0.000{col 54}{space 4} 4.993496{col 67}{space 3} 5.200814
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 1.9403091
     {txt}sigma_e {c |} {res} 1.3628496
         {txt}rho {c |} {res} .66963594{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  GL ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    10,671
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,332

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0539{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0428{col 63}{txt}avg{col 67}={col 69}{res}       8.0
{txt}     Overall = {res}0.0406{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}23{txt},{res}1331{txt}){col 67}={col 70}{res}    21.34
{txt}corr(u_i, Xb) = {res}0.0539{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,332} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      GL{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.2181878{col 38}{space 2} .0679798{col 49}{space 1}   -3.21{col 58}{space 3}0.001{col 66}{space 4}-.3515471{col 79}{space 3}-.0848286
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1326881{col 38}{space 2} .2337476{col 49}{space 1}   -0.57{col 58}{space 3}0.570{col 66}{space 4} -.591242{col 79}{space 3} .3258658
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0435849{col 38}{space 2} .3720325{col 49}{space 1}    0.12{col 58}{space 3}0.907{col 66}{space 4}-.6862492{col 79}{space 3} .7734189
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}  -.22279{col 38}{space 2} .2680535{col 49}{space 1}   -0.83{col 58}{space 3}0.406{col 66}{space 4}-.7486434{col 79}{space 3} .3030635
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .1258146{col 38}{space 2} .2570756{col 49}{space 1}    0.49{col 58}{space 3}0.625{col 66}{space 4}-.3785029{col 79}{space 3} .6301321
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .5255041{col 38}{space 2} .4296616{col 49}{space 1}    1.22{col 58}{space 3}0.222{col 66}{space 4}-.3173836{col 79}{space 3} 1.368392
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0131094{col 38}{space 2} .0394058{col 49}{space 1}   -0.33{col 58}{space 3}0.739{col 66}{space 4}-.0904136{col 79}{space 3} .0641948
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0870988{col 38}{space 2} .1675198{col 49}{space 1}    0.52{col 58}{space 3}0.603{col 66}{space 4}-.2415329{col 79}{space 3} .4157304
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0586409{col 38}{space 2} .0933739{col 49}{space 1}    0.63{col 58}{space 3}0.530{col 66}{space 4}-.1245352{col 79}{space 3} .2418169
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0777022{col 38}{space 2} .3130127{col 49}{space 1}    0.25{col 58}{space 3}0.804{col 66}{space 4}-.5363498{col 79}{space 3} .6917542
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0034029{col 38}{space 2} .1284492{col 49}{space 1}    0.03{col 58}{space 3}0.979{col 66}{space 4}-.2485821{col 79}{space 3} .2553879
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0617513{col 38}{space 2} .1080534{col 49}{space 1}    0.57{col 58}{space 3}0.568{col 66}{space 4}-.1502222{col 79}{space 3} .2737247
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0368046{col 38}{space 2} .0631586{col 49}{space 1}    0.58{col 58}{space 3}0.560{col 66}{space 4}-.0870967{col 79}{space 3}  .160706
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.1108007{col 38}{space 2} .0572974{col 49}{space 1}   -1.93{col 58}{space 3}0.053{col 66}{space 4}-.2232037{col 79}{space 3} .0016024
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2763248{col 38}{space 2}  .061064{col 49}{space 1}    4.53{col 58}{space 3}0.000{col 66}{space 4} .1565328{col 79}{space 3} .3961169
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.7829333{col 38}{space 2} .0681786{col 49}{space 1}  -11.48{col 58}{space 3}0.000{col 66}{space 4}-.9166825{col 79}{space 3}-.6491841
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.5105934{col 38}{space 2} .0675247{col 49}{space 1}   -7.56{col 58}{space 3}0.000{col 66}{space 4}-.6430599{col 79}{space 3} -.378127
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.1482612{col 38}{space 2} .0744515{col 49}{space 1}   -1.99{col 58}{space 3}0.047{col 66}{space 4}-.2943162{col 79}{space 3}-.0022061
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.2589558{col 38}{space 2}  .079596{col 49}{space 1}   -3.25{col 58}{space 3}0.001{col 66}{space 4}-.4151032{col 79}{space 3}-.1028084
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.1203182{col 38}{space 2} .0771656{col 49}{space 1}   -1.56{col 58}{space 3}0.119{col 66}{space 4}-.2716977{col 79}{space 3} .0310613
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.2260404{col 38}{space 2} .0845343{col 49}{space 1}   -2.67{col 58}{space 3}0.008{col 66}{space 4}-.3918754{col 79}{space 3}-.0602054
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.5844023{col 38}{space 2} .0853556{col 49}{space 1}   -6.85{col 58}{space 3}0.000{col 66}{space 4}-.7518485{col 79}{space 3}-.4169561
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.6424225{col 38}{space 2} .0864055{col 49}{space 1}   -7.43{col 58}{space 3}0.000{col 66}{space 4}-.8119282{col 79}{space 3}-.4729167
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.198808{col 38}{space 2} .3658246{col 49}{space 1}   14.21{col 58}{space 3}0.000{col 66}{space 4} 4.481152{col 79}{space 3} 5.916464
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9214179
                 {txt}sigma_e {c |} {res}  1.351667
                     {txt}rho {c |} {res} .66895213{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.     eststo: xtreg price1 ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,776
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0169{col 63}{txt}min{col 67}={col 69}{res}         2
{txt}     Between = {res}0.0049{col 63}{txt}avg{col 67}={col 69}{res}       9.5
{txt}     Overall = {res}0.0089{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1344{txt}){col 67}={col 70}{res}    12.87
{txt}corr(u_i, Xb) = {res}-0.0102{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,345} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      price1{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0045964{col 26}{space 2} .0112855{col 37}{space 1}   -0.41{col 46}{space 3}0.684{col 54}{space 4}-.0267355{col 67}{space 3} .0175426
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0249483{col 26}{space 2} .0132243{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-.0508907{col 67}{space 3} .0009942
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0038654{col 26}{space 2} .0133682{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4}-.0223594{col 67}{space 3} .0300903
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .0340734{col 26}{space 2} .0136307{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .0073335{col 67}{space 3} .0608132
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .0527002{col 26}{space 2} .0139068{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4} .0254187{col 67}{space 3} .0799816
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .0493126{col 26}{space 2} .0138165{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4} .0222083{col 67}{space 3} .0764169
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0162456{col 26}{space 2}   .01377{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4}-.0432587{col 67}{space 3} .0107674
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0551136{col 26}{space 2}   .01394{col 37}{space 1}   -3.95{col 46}{space 3}0.000{col 54}{space 4}-.0824601{col 67}{space 3} -.027767
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0253023{col 26}{space 2} .0145542{col 37}{space 1}   -1.74{col 46}{space 3}0.082{col 54}{space 4}-.0538537{col 67}{space 3}  .003249
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0488367{col 26}{space 2} .0157563{col 37}{space 1}    3.10{col 46}{space 3}0.002{col 54}{space 4}  .017927{col 67}{space 3} .0797463
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0074102{col 26}{space 2} .0150592{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-.0369524{col 67}{space 3} .0221319
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0389594{col 26}{space 2} .0146186{col 37}{space 1}   -2.67{col 46}{space 3}0.008{col 54}{space 4}-.0676372{col 67}{space 3}-.0102816
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1545558{col 26}{space 2} .0103433{col 37}{space 1}   14.94{col 46}{space 3}0.000{col 54}{space 4}  .134265{col 67}{space 3} .1748467
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .23762198
     {txt}sigma_e {c |} {res} .29322414
         {txt}rho {c |} {res} .39639414{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  price1 ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,494
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0184{col 63}{txt}min{col 67}={col 69}{res}         2
{txt}     Between = {res}0.0006{col 63}{txt}avg{col 67}={col 69}{res}       9.3
{txt}     Overall = {res}0.0085{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1344{txt}){col 67}={col 70}{res}     6.79
{txt}corr(u_i, Xb) = {res}-0.0728{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,345} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                  price1{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0046736{col 38}{space 2} .0115798{col 49}{space 1}   -0.40{col 58}{space 3}0.687{col 66}{space 4}-.0273901{col 79}{space 3} .0180429
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0693621{col 38}{space 2} .0412854{col 49}{space 1}   -1.68{col 58}{space 3}0.093{col 66}{space 4}-.1503529{col 79}{space 3} .0116287
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.0003817{col 38}{space 2} .0596425{col 49}{space 1}   -0.01{col 58}{space 3}0.995{col 66}{space 4}-.1173842{col 79}{space 3} .1166209
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0562632{col 38}{space 2} .0471108{col 49}{space 1}   -1.19{col 58}{space 3}0.233{col 66}{space 4} -.148682{col 79}{space 3} .0361556
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0901963{col 38}{space 2} .0508843{col 49}{space 1}   -1.77{col 58}{space 3}0.077{col 66}{space 4}-.1900176{col 79}{space 3} .0096251
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0480735{col 38}{space 2} .0623193{col 49}{space 1}   -0.77{col 58}{space 3}0.441{col 66}{space 4}-.1703272{col 79}{space 3} .0741802
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0053309{col 38}{space 2} .0071557{col 49}{space 1}   -0.74{col 58}{space 3}0.456{col 66}{space 4}-.0193685{col 79}{space 3} .0087067
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0175588{col 38}{space 2} .0227964{col 49}{space 1}    0.77{col 58}{space 3}0.441{col 66}{space 4}-.0271616{col 79}{space 3} .0622793
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0075942{col 38}{space 2} .0164661{col 49}{space 1}    0.46{col 58}{space 3}0.645{col 66}{space 4}-.0247079{col 79}{space 3} .0398963
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0519555{col 38}{space 2} .0572258{col 49}{space 1}   -0.91{col 58}{space 3}0.364{col 66}{space 4} -.164217{col 79}{space 3}  .060306
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0324988{col 38}{space 2} .0249136{col 49}{space 1}    1.30{col 58}{space 3}0.192{col 66}{space 4}-.0163749{col 79}{space 3} .0813726
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0237323{col 38}{space 2} .0167574{col 49}{space 1}    1.42{col 58}{space 3}0.157{col 66}{space 4}-.0091412{col 79}{space 3} .0566058
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0189011{col 38}{space 2} .0116462{col 49}{space 1}    1.62{col 58}{space 3}0.105{col 66}{space 4}-.0039455{col 79}{space 3} .0417477
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0236509{col 38}{space 2} .0133021{col 49}{space 1}   -1.78{col 58}{space 3}0.076{col 66}{space 4}-.0497461{col 79}{space 3} .0024442
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0067571{col 38}{space 2} .0133673{col 49}{space 1}    0.51{col 58}{space 3}0.613{col 66}{space 4} -.019466{col 79}{space 3} .0329802
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0361126{col 38}{space 2} .0137751{col 49}{space 1}    2.62{col 58}{space 3}0.009{col 66}{space 4} .0090895{col 79}{space 3} .0631356
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0538278{col 38}{space 2} .0142259{col 49}{space 1}    3.78{col 58}{space 3}0.000{col 66}{space 4} .0259205{col 79}{space 3} .0817352
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0498055{col 38}{space 2} .0140409{col 49}{space 1}    3.55{col 58}{space 3}0.000{col 66}{space 4}  .022261{col 79}{space 3}   .07735
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  -.01512{col 38}{space 2}  .014134{col 49}{space 1}   -1.07{col 58}{space 3}0.285{col 66}{space 4}-.0428471{col 79}{space 3}  .012607
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0526858{col 38}{space 2}  .014487{col 49}{space 1}   -3.64{col 58}{space 3}0.000{col 66}{space 4}-.0811054{col 79}{space 3}-.0242662
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0217211{col 38}{space 2} .0152183{col 49}{space 1}   -1.43{col 58}{space 3}0.154{col 66}{space 4}-.0515753{col 79}{space 3} .0081332
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0514021{col 38}{space 2} .0165955{col 49}{space 1}    3.10{col 58}{space 3}0.002{col 66}{space 4} .0188461{col 79}{space 3}  .083958
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0035526{col 38}{space 2} .0160518{col 49}{space 1}   -0.22{col 58}{space 3}0.825{col 66}{space 4}-.0350419{col 79}{space 3} .0279366
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0372444{col 38}{space 2} .0156551{col 49}{space 1}   -2.38{col 58}{space 3}0.017{col 66}{space 4}-.0679554{col 79}{space 3}-.0065334
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2205845{col 38}{space 2} .0671975{col 49}{space 1}    3.28{col 58}{space 3}0.001{col 66}{space 4} .0887612{col 79}{space 3} .3524079
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .24051722
                 {txt}sigma_e {c |} {res} .29232882
                     {txt}rho {c |} {res} .40367513{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg  immigration  ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,506
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0061{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0065{col 63}{txt}avg{col 67}={col 69}{res}       9.3
{txt}     Overall = {res}0.0037{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1344{txt}){col 67}={col 70}{res}     5.10
{txt}corr(u_i, Xb) = {res}0.0162{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,345} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} immigration{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0236185{col 26}{space 2} .0239496{col 37}{space 1}    0.99{col 46}{space 3}0.324{col 54}{space 4}-.0233642{col 67}{space 3} .0706011
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0063102{col 26}{space 2} .0284061{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-.0620353{col 67}{space 3}  .049415
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0252389{col 26}{space 2} .0296776{col 37}{space 1}   -0.85{col 46}{space 3}0.395{col 54}{space 4}-.0834584{col 67}{space 3} .0329806
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .0004321{col 26}{space 2} .0291896{col 37}{space 1}    0.01{col 46}{space 3}0.988{col 54}{space 4}-.0568299{col 67}{space 3} .0576942
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .0267072{col 26}{space 2} .0294478{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.0310615{col 67}{space 3} .0844759
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .0009984{col 26}{space 2} .0296291{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4} -.057126{col 67}{space 3} .0591228
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0114605{col 26}{space 2} .0325432{col 37}{space 1}    0.35{col 46}{space 3}0.725{col 54}{space 4}-.0523806{col 67}{space 3} .0753015
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .0696494{col 26}{space 2} .0330136{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0048857{col 67}{space 3} .1344131
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0653154{col 26}{space 2} .0322352{col 37}{space 1}   -2.03{col 46}{space 3}0.043{col 54}{space 4}-.1285521{col 67}{space 3}-.0020787
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0548663{col 26}{space 2} .0339314{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4}-.1214305{col 67}{space 3}  .011698
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0227304{col 26}{space 2} .0343091{col 37}{space 1}   -0.66{col 46}{space 3}0.508{col 54}{space 4}-.0900355{col 67}{space 3} .0445748
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.1262861{col 26}{space 2} .0346537{col 37}{space 1}   -3.64{col 46}{space 3}0.000{col 54}{space 4}-.1942673{col 67}{space 3}-.0583048
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.797002{col 26}{space 2} .0236209{col 37}{space 1}  160.75{col 46}{space 3}0.000{col 54}{space 4} 3.750664{col 67}{space 3}  3.84334
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .78078542
     {txt}sigma_e {c |} {res} .60003303
         {txt}rho {c |} {res} .62869708{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  immigration ATET  i.oplcat   lninc i.employ  renter i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,243
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,345

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0089{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0236{col 63}{txt}avg{col 67}={col 69}{res}       9.1
{txt}     Overall = {res}0.0169{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1344{txt}){col 67}={col 70}{res}     3.55
{txt}corr(u_i, Xb) = {res}0.0139{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,345} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             immigration{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0202345{col 38}{space 2} .0243642{col 49}{space 1}    0.83{col 58}{space 3}0.406{col 66}{space 4}-.0275615{col 79}{space 3} .0680306
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1033843{col 38}{space 2} .0734074{col 49}{space 1}   -1.41{col 58}{space 3}0.159{col 66}{space 4}-.2473899{col 79}{space 3} .0406214
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1145585{col 38}{space 2} .1264356{col 49}{space 1}    0.91{col 58}{space 3}0.365{col 66}{space 4}-.1334742{col 79}{space 3} .3625911
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.1244684{col 38}{space 2} .0873214{col 49}{space 1}   -1.43{col 58}{space 3}0.154{col 66}{space 4}-.2957695{col 79}{space 3} .0468326
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.2548418{col 38}{space 2} .1159241{col 49}{space 1}   -2.20{col 58}{space 3}0.028{col 66}{space 4}-.4822536{col 79}{space 3}  -.02743
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.2433381{col 38}{space 2} .1397011{col 49}{space 1}   -1.74{col 58}{space 3}0.082{col 66}{space 4} -.517394{col 79}{space 3} .0307178
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0183227{col 38}{space 2} .0140232{col 49}{space 1}    1.31{col 58}{space 3}0.192{col 66}{space 4} -.009187{col 79}{space 3} .0458324
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0544194{col 38}{space 2} .0528064{col 49}{space 1}    1.03{col 58}{space 3}0.303{col 66}{space 4}-.0491726{col 79}{space 3} .1580113
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0408531{col 38}{space 2} .0316793{col 49}{space 1}    1.29{col 58}{space 3}0.197{col 66}{space 4}-.0212932{col 79}{space 3} .1029994
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0535305{col 38}{space 2} .1271177{col 49}{space 1}   -0.42{col 58}{space 3}0.674{col 66}{space 4}-.3029012{col 79}{space 3} .1958401
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0442288{col 38}{space 2}  .049035{col 49}{space 1}    0.90{col 58}{space 3}0.367{col 66}{space 4}-.0519646{col 79}{space 3} .1404221
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0162126{col 38}{space 2} .0347666{col 49}{space 1}    0.47{col 58}{space 3}0.641{col 66}{space 4}  -.05199{col 79}{space 3} .0844152
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}-.0573252{col 38}{space 2} .0250858{col 49}{space 1}   -2.29{col 58}{space 3}0.022{col 66}{space 4}-.1065367{col 79}{space 3}-.0081137
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0002732{col 38}{space 2} .0287831{col 49}{space 1}   -0.01{col 58}{space 3}0.992{col 66}{space 4}-.0567378{col 79}{space 3} .0561914
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0256213{col 38}{space 2} .0299407{col 49}{space 1}   -0.86{col 58}{space 3}0.392{col 66}{space 4}-.0843568{col 79}{space 3} .0331143
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0045759{col 38}{space 2} .0294664{col 49}{space 1}    0.16{col 58}{space 3}0.877{col 66}{space 4}-.0532292{col 79}{space 3}  .062381
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0247288{col 38}{space 2}  .029841{col 49}{space 1}    0.83{col 58}{space 3}0.407{col 66}{space 4}-.0338112{col 79}{space 3} .0832687
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0012699{col 38}{space 2} .0303696{col 49}{space 1}    0.04{col 58}{space 3}0.967{col 66}{space 4} -.058307{col 79}{space 3} .0608468
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0111888{col 38}{space 2} .0333292{col 49}{space 1}    0.34{col 58}{space 3}0.737{col 66}{space 4}-.0541942{col 79}{space 3} .0765717
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0735506{col 38}{space 2} .0338713{col 49}{space 1}    2.17{col 58}{space 3}0.030{col 66}{space 4} .0071041{col 79}{space 3}  .139997
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0613319{col 38}{space 2} .0331439{col 49}{space 1}   -1.85{col 58}{space 3}0.064{col 66}{space 4}-.1263514{col 79}{space 3} .0036876
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0577853{col 38}{space 2} .0349841{col 49}{space 1}   -1.65{col 58}{space 3}0.099{col 66}{space 4}-.1264146{col 79}{space 3}  .010844
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0250262{col 38}{space 2} .0357347{col 49}{space 1}   -0.70{col 58}{space 3}0.484{col 66}{space 4} -.095128{col 79}{space 3} .0450757
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.1263375{col 38}{space 2} .0362286{col 49}{space 1}   -3.49{col 58}{space 3}0.001{col 66}{space 4}-.1974083{col 79}{space 3}-.0552667
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.783011{col 38}{space 2} .1285585{col 49}{space 1}   29.43{col 58}{space 3}0.000{col 66}{space 4} 3.530814{col 79}{space 3} 4.035208
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .77361815
                 {txt}sigma_e {c |} {res} .59753722
                     {txt}rho {c |} {res} .62633452{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg  EU  ATET i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,062
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,344

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0382{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0049{col 63}{txt}avg{col 67}={col 69}{res}       9.0
{txt}     Overall = {res}0.0165{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1343{txt}){col 67}={col 70}{res}    26.49
{txt}corr(u_i, Xb) = {res}0.0074{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,344} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          EU{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}   .04813{col 26}{space 2} .0315673{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-.0137966{col 67}{space 3} .1100566
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0205617{col 26}{space 2} .0349882{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.0891992{col 67}{space 3} .0480759
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .3442462{col 26}{space 2} .0373555{col 37}{space 1}    9.22{col 46}{space 3}0.000{col 54}{space 4} .2709647{col 67}{space 3} .4175277
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .2616148{col 26}{space 2} .0389328{col 37}{space 1}    6.72{col 46}{space 3}0.000{col 54}{space 4} .1852391{col 67}{space 3} .3379905
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .3564836{col 26}{space 2} .0374057{col 37}{space 1}    9.53{col 46}{space 3}0.000{col 54}{space 4} .2831037{col 67}{space 3} .4298635
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .4435656{col 26}{space 2} .0379726{col 37}{space 1}   11.68{col 46}{space 3}0.000{col 54}{space 4} .3690736{col 67}{space 3} .5180576
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .3411951{col 26}{space 2} .0409326{col 37}{space 1}    8.34{col 46}{space 3}0.000{col 54}{space 4} .2608962{col 67}{space 3}  .421494
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .4036456{col 26}{space 2} .0427532{col 37}{space 1}    9.44{col 46}{space 3}0.000{col 54}{space 4} .3197753{col 67}{space 3} .4875159
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .2866029{col 26}{space 2} .0418433{col 37}{space 1}    6.85{col 46}{space 3}0.000{col 54}{space 4} .2045176{col 67}{space 3} .3686881
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .1358344{col 26}{space 2} .0451973{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .0471695{col 67}{space 3} .2244993
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2801835{col 26}{space 2} .0447973{col 37}{space 1}    6.25{col 46}{space 3}0.000{col 54}{space 4} .1923033{col 67}{space 3} .3680637
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .1470086{col 26}{space 2} .0454748{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .0577993{col 67}{space 3}  .236218
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.390621{col 26}{space 2} .0306887{col 37}{space 1}  110.48{col 46}{space 3}0.000{col 54}{space 4} 3.330418{col 67}{space 3} 3.450824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .92762721
     {txt}sigma_e {c |} {res} .74920113
         {txt}rho {c |} {res} .60521559{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  EU ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,818
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,344

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0392{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0149{col 63}{txt}avg{col 67}={col 69}{res}       8.8
{txt}     Overall = {res}0.0252{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1343{txt}){col 67}={col 70}{res}    13.36
{txt}corr(u_i, Xb) = {res}0.0057{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,344} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      EU{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0356215{col 38}{space 2} .0320568{col 49}{space 1}    1.11{col 58}{space 3}0.267{col 66}{space 4}-.0272655{col 79}{space 3} .0985084
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.2190244{col 38}{space 2} .1150786{col 49}{space 1}   -1.90{col 58}{space 3}0.057{col 66}{space 4}-.4447778{col 79}{space 3} .0067289
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0142197{col 38}{space 2} .1384543{col 49}{space 1}    0.10{col 58}{space 3}0.918{col 66}{space 4}-.2573905{col 79}{space 3}   .28583
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.1506127{col 38}{space 2} .1173875{col 49}{space 1}   -1.28{col 58}{space 3}0.200{col 66}{space 4}-.3808956{col 79}{space 3} .0796701
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.3155644{col 38}{space 2} .1460724{col 49}{space 1}   -2.16{col 58}{space 3}0.031{col 66}{space 4}-.6021194{col 79}{space 3}-.0290095
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.2351999{col 38}{space 2}  .258677{col 49}{space 1}   -0.91{col 58}{space 3}0.363{col 66}{space 4}-.7426548{col 79}{space 3} .2722551
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0162173{col 38}{space 2} .0197473{col 49}{space 1}   -0.82{col 58}{space 3}0.412{col 66}{space 4}-.0549562{col 79}{space 3} .0225215
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0600957{col 38}{space 2} .0762258{col 49}{space 1}   -0.79{col 58}{space 3}0.431{col 66}{space 4}-.2096302{col 79}{space 3} .0894388
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0423469{col 38}{space 2} .0438599{col 49}{space 1}    0.97{col 58}{space 3}0.334{col 66}{space 4}-.0436946{col 79}{space 3} .1283883
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .1195495{col 38}{space 2} .1548758{col 49}{space 1}    0.77{col 58}{space 3}0.440{col 66}{space 4}-.1842753{col 79}{space 3} .4233744
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0189008{col 38}{space 2} .0670747{col 49}{space 1}   -0.28{col 58}{space 3}0.778{col 66}{space 4}-.1504833{col 79}{space 3} .1126817
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0249328{col 38}{space 2} .0529373{col 49}{space 1}    0.47{col 58}{space 3}0.638{col 66}{space 4}-.0789161{col 79}{space 3} .1287817
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}-.0492293{col 38}{space 2} .0303503{col 49}{space 1}   -1.62{col 58}{space 3}0.105{col 66}{space 4}-.1087685{col 79}{space 3} .0103099
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0239127{col 38}{space 2} .0354203{col 49}{space 1}   -0.68{col 58}{space 3}0.500{col 66}{space 4}-.0933979{col 79}{space 3} .0455725
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .3228329{col 38}{space 2} .0378362{col 49}{space 1}    8.53{col 58}{space 3}0.000{col 66}{space 4} .2486083{col 79}{space 3} .3970574
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .2550618{col 38}{space 2} .0394089{col 49}{space 1}    6.47{col 58}{space 3}0.000{col 66}{space 4} .1777521{col 79}{space 3} .3323715
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .3437573{col 38}{space 2} .0377051{col 49}{space 1}    9.12{col 58}{space 3}0.000{col 66}{space 4} .2697899{col 79}{space 3} .4177247
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .4301193{col 38}{space 2} .0382955{col 49}{space 1}   11.23{col 58}{space 3}0.000{col 66}{space 4} .3549938{col 79}{space 3} .5052448
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3354512{col 38}{space 2} .0416978{col 49}{space 1}    8.04{col 58}{space 3}0.000{col 66}{space 4} .2536514{col 79}{space 3} .4172511
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3981335{col 38}{space 2}  .044028{col 49}{space 1}    9.04{col 58}{space 3}0.000{col 66}{space 4} .3117624{col 79}{space 3} .4845046
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .2846895{col 38}{space 2} .0429787{col 49}{space 1}    6.62{col 58}{space 3}0.000{col 66}{space 4} .2003769{col 79}{space 3} .3690021
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .1346484{col 38}{space 2} .0467881{col 49}{space 1}    2.88{col 58}{space 3}0.004{col 66}{space 4} .0428627{col 79}{space 3}  .226434
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .2823977{col 38}{space 2} .0469381{col 49}{space 1}    6.02{col 58}{space 3}0.000{col 66}{space 4} .1903176{col 79}{space 3} .3744777
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1478177{col 38}{space 2} .0474401{col 49}{space 1}    3.12{col 58}{space 3}0.002{col 66}{space 4}  .054753{col 79}{space 3} .2408825
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.718129{col 38}{space 2}  .186825{col 49}{space 1}   19.90{col 58}{space 3}0.000{col 66}{space 4} 3.351628{col 79}{space 3} 4.084629
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .92634364
                 {txt}sigma_e {c |} {res} .74767191
                     {txt}rho {c |} {res} .60553024{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg leftright ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,486
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,323

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0031{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0005{col 63}{txt}avg{col 67}={col 69}{res}       8.7
{txt}     Overall = {res}0.0005{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}1322{txt}){col 67}={col 70}{res}     2.61
{txt}corr(u_i, Xb) = {res}-0.0051{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0020

{txt}{ralign 78:(Std. err. adjusted for {res:1,323} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   leftright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0138538{col 26}{space 2} .0491817{col 37}{space 1}    0.28{col 46}{space 3}0.778{col 54}{space 4}-.0826289{col 67}{space 3} .1103366
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1351847{col 26}{space 2} .0551676{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .0269591{col 67}{space 3} .2434102
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .1701422{col 26}{space 2} .0579214{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} .0565144{col 67}{space 3} .2837701
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .1013313{col 26}{space 2} .0570101{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.0105089{col 67}{space 3} .2131715
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .0427182{col 26}{space 2} .0575195{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.0701213{col 67}{space 3} .1555576
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .0690005{col 26}{space 2} .0540237{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4} -.036981{col 67}{space 3} .1749821
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0854865{col 26}{space 2} .0593299{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.0309046{col 67}{space 3} .2018776
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .0571929{col 26}{space 2} .0600575{col 37}{space 1}    0.95{col 46}{space 3}0.341{col 54}{space 4}-.0606255{col 67}{space 3} .1750113
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0232589{col 26}{space 2} .0617382{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4}-.0978566{col 67}{space 3} .1443744
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0301397{col 26}{space 2} .0637512{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-.0949248{col 67}{space 3} .1552042
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .0932044{col 26}{space 2} .0655531{col 37}{space 1}    1.42{col 46}{space 3}0.155{col 54}{space 4}-.0353952{col 67}{space 3} .2218039
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .2365018{col 26}{space 2} .0703104{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .0985697{col 67}{space 3} .3744338
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.995927{col 26}{space 2}  .044265{col 37}{space 1}  112.86{col 46}{space 3}0.000{col 54}{space 4}  4.90909{col 67}{space 3} 5.082764
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  1.930028
     {txt}sigma_e {c |} {res} 1.1317902
         {txt}rho {c |} {res} .74411504{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est9{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  leftright ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    11,270
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,321

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0073{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0008{col 63}{txt}avg{col 67}={col 69}{res}       8.5
{txt}     Overall = {res}0.0019{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1320{txt}){col 67}={col 70}{res}     2.58
{txt}corr(u_i, Xb) = {res}-0.0714{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,321} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}               leftright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0283426{col 38}{space 2} .0490942{col 49}{space 1}    0.58{col 58}{space 3}0.564{col 66}{space 4}-.0679685{col 79}{space 3} .1246537
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0959651{col 38}{space 2} .1715174{col 49}{space 1}   -0.56{col 58}{space 3}0.576{col 66}{space 4}-.4324416{col 79}{space 3} .2405115
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0038196{col 38}{space 2} .3183784{col 49}{space 1}    0.01{col 58}{space 3}0.990{col 66}{space 4}-.6207633{col 79}{space 3} .6284025
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .3441983{col 38}{space 2} .2154659{col 49}{space 1}    1.60{col 58}{space 3}0.110{col 66}{space 4}-.0784946{col 79}{space 3} .7668912
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .2747875{col 38}{space 2} .2172555{col 49}{space 1}    1.26{col 58}{space 3}0.206{col 66}{space 4}-.1514162{col 79}{space 3} .7009912
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.2894119{col 38}{space 2} .5049034{col 49}{space 1}   -0.57{col 58}{space 3}0.567{col 66}{space 4}-1.279913{col 79}{space 3} .7010887
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .082637{col 38}{space 2} .0284684{col 49}{space 1}    2.90{col 58}{space 3}0.004{col 66}{space 4} .0267888{col 79}{space 3} .1384852
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0625429{col 38}{space 2} .0960708{col 49}{space 1}   -0.65{col 58}{space 3}0.515{col 66}{space 4}-.2510111{col 79}{space 3} .1259252
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1412969{col 38}{space 2} .0745309{col 49}{space 1}   -1.90{col 58}{space 3}0.058{col 66}{space 4}-.2875089{col 79}{space 3}  .004915
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0266724{col 38}{space 2} .3375123{col 49}{space 1}    0.08{col 58}{space 3}0.937{col 66}{space 4}-.6354467{col 79}{space 3} .6887914
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0181632{col 38}{space 2} .1008919{col 49}{space 1}   -0.18{col 58}{space 3}0.857{col 66}{space 4}-.2160892{col 79}{space 3} .1797629
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0392783{col 38}{space 2} .0737351{col 49}{space 1}    0.53{col 58}{space 3}0.594{col 66}{space 4}-.1053725{col 79}{space 3} .1839291
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}-.0246106{col 38}{space 2} .0446759{col 49}{space 1}   -0.55{col 58}{space 3}0.582{col 66}{space 4}-.1122541{col 79}{space 3}  .063033
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1280911{col 38}{space 2} .0552692{col 49}{space 1}    2.32{col 58}{space 3}0.021{col 66}{space 4} .0196661{col 79}{space 3} .2365161
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1751135{col 38}{space 2} .0583633{col 49}{space 1}    3.00{col 58}{space 3}0.003{col 66}{space 4} .0606185{col 79}{space 3} .2896086
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0922151{col 38}{space 2} .0576137{col 49}{space 1}    1.60{col 58}{space 3}0.110{col 66}{space 4}-.0208093{col 79}{space 3} .2052394
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0404233{col 38}{space 2} .0578473{col 49}{space 1}    0.70{col 58}{space 3}0.485{col 66}{space 4}-.0730593{col 79}{space 3}  .153906
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0740183{col 38}{space 2} .0547525{col 49}{space 1}    1.35{col 58}{space 3}0.177{col 66}{space 4}-.0333931{col 79}{space 3} .1814297
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  .058611{col 38}{space 2} .0605112{col 49}{space 1}    0.97{col 58}{space 3}0.333{col 66}{space 4}-.0600976{col 79}{space 3} .1773196
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}  .033429{col 38}{space 2} .0613084{col 49}{space 1}    0.55{col 58}{space 3}0.586{col 66}{space 4}-.0868436{col 79}{space 3} .1537016
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0158633{col 38}{space 2} .0637196{col 49}{space 1}   -0.25{col 58}{space 3}0.803{col 66}{space 4} -.140866{col 79}{space 3} .1091394
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0041701{col 38}{space 2} .0649715{col 49}{space 1}   -0.06{col 58}{space 3}0.949{col 66}{space 4}-.1316287{col 79}{space 3} .1232885
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0468743{col 38}{space 2} .0673186{col 49}{space 1}    0.70{col 58}{space 3}0.486{col 66}{space 4}-.0851888{col 79}{space 3} .1789374
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1964698{col 38}{space 2} .0739172{col 49}{space 1}    2.66{col 58}{space 3}0.008{col 66}{space 4} .0514618{col 79}{space 3} .3414778
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 4.347742{col 38}{space 2} .2778875{col 49}{space 1}   15.65{col 58}{space 3}0.000{col 66}{space 4} 3.802592{col 79}{space 3} 4.892891
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9362963
                 {txt}sigma_e {c |} {res} 1.1259936
                     {txt}rho {c |} {res}  .7472922{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est10{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    
. esttab using "regression2b.tex", replace f  ///
>  b(2) se(2) ///
>  keep(ATET ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of energy poverty on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must adapt" "Oppose EU Integration" "Left-Right" , pattern(1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression2b.tex"'})

{com}.  
.  * Appendix table with all observations, energy poverty
.  esttab using "regression2bappendix.tex", replace f  ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of energy poverty on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must adapt" "Oppose EU Integration" "Left-Right" , pattern(1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression2bappendix.tex"'})

{com}.  
. 
.   *Using estout package for LatexTables           
. est clear
{res}{txt}
{com}.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET  i.year if include==1 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    35589
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     4903

{txt}R-sq:  Within  = {res}0.0105                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0038                                        {txt}avg = {res}      7.3
{txt}       Overall = {res}0.0056                                        {txt}max = {res}       12

                                                {txt}F({res}12{txt},{res}4902{txt})         = {res}    19.77
{txt}corr(u_i, Xb)  = {res}0.0144                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:4,903} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0178515{col 26}{space 2} .0075097{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .0031291{col 67}{space 3} .0325738
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0255003{col 26}{space 2} .0063291{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .0130923{col 67}{space 3} .0379082
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} -.010958{col 26}{space 2} .0068353{col 37}{space 1}   -1.60{col 46}{space 3}0.109{col 54}{space 4}-.0243583{col 67}{space 3} .0024423
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0300626{col 26}{space 2} .0066968{col 37}{space 1}   -4.49{col 46}{space 3}0.000{col 54}{space 4}-.0431914{col 67}{space 3}-.0169339
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0384721{col 26}{space 2} .0067726{col 37}{space 1}   -5.68{col 46}{space 3}0.000{col 54}{space 4}-.0517495{col 67}{space 3}-.0251947
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0274614{col 26}{space 2} .0068206{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-.0408328{col 67}{space 3}  -.01409
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0031001{col 26}{space 2} .0068999{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-.0104267{col 67}{space 3} .0166269
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0004042{col 26}{space 2}  .007196{col 37}{space 1}   -0.06{col 46}{space 3}0.955{col 54}{space 4}-.0145115{col 67}{space 3} .0137031
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0057341{col 26}{space 2}  .007411{col 37}{space 1}    0.77{col 46}{space 3}0.439{col 54}{space 4}-.0087949{col 67}{space 3} .0202631
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0301896{col 26}{space 2} .0079294{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} .0146444{col 67}{space 3} .0457348
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .0056508{col 26}{space 2} .0077639{col 37}{space 1}    0.73{col 46}{space 3}0.467{col 54}{space 4}-.0095699{col 67}{space 3} .0208716
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0211671{col 26}{space 2} .0076966{col 37}{space 1}   -2.75{col 46}{space 3}0.006{col 54}{space 4}-.0362558{col 67}{space 3}-.0060783
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1442791{col 26}{space 2}  .005528{col 37}{space 1}   26.10{col 46}{space 3}0.000{col 54}{space 4} .1334417{col 67}{space 3} .1551165
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .28276921
     {txt}sigma_e {c |} {res} .22037361
         {txt}rho {c |} {res} .62213344{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  extremeright ATET i.oplcat   lninc i.employ renter  i.year if include==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    32742
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     4630

{txt}R-sq:  Within  = {res}0.0115                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0016                                        {txt}avg = {res}      7.1
{txt}       Overall = {res}0.0003                                        {txt}max = {res}       12

                                                {txt}F({res}24{txt},{res}4629{txt})         = {res}     9.68
{txt}corr(u_i, Xb)  = {res}-0.0839                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:4,630} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}  .017517{col 38}{space 2} .0079064{col 49}{space 1}    2.22{col 58}{space 3}0.027{col 66}{space 4} .0020166{col 79}{space 3} .0330173
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0246776{col 38}{space 2} .0296675{col 49}{space 1}   -0.83{col 58}{space 3}0.406{col 66}{space 4}-.0828401{col 79}{space 3} .0334849
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0094608{col 38}{space 2} .0289723{col 49}{space 1}    0.33{col 58}{space 3}0.744{col 66}{space 4}-.0473388{col 79}{space 3} .0662604
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0244863{col 38}{space 2} .0284265{col 49}{space 1}    0.86{col 58}{space 3}0.389{col 66}{space 4}-.0312432{col 79}{space 3} .0802159
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0165664{col 38}{space 2} .0253691{col 49}{space 1}    0.65{col 58}{space 3}0.514{col 66}{space 4}-.0331692{col 79}{space 3}  .066302
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0065774{col 38}{space 2} .0274559{col 49}{space 1}   -0.24{col 58}{space 3}0.811{col 66}{space 4}-.0604041{col 79}{space 3} .0472493
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .001544{col 38}{space 2}  .003031{col 49}{space 1}    0.51{col 58}{space 3}0.610{col 66}{space 4}-.0043982{col 79}{space 3} .0074862
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0085955{col 38}{space 2} .0135062{col 49}{space 1}    0.64{col 58}{space 3}0.525{col 66}{space 4}-.0178831{col 79}{space 3}  .035074
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0132524{col 38}{space 2} .0089947{col 49}{space 1}    1.47{col 58}{space 3}0.141{col 66}{space 4}-.0043815{col 79}{space 3} .0308864
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0149765{col 38}{space 2} .0192444{col 49}{space 1}    0.78{col 58}{space 3}0.436{col 66}{space 4}-.0227516{col 79}{space 3} .0527046
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}  .009818{col 38}{space 2} .0126489{col 49}{space 1}    0.78{col 58}{space 3}0.438{col 66}{space 4}-.0149799{col 79}{space 3}  .034616
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0127822{col 38}{space 2} .0081894{col 49}{space 1}    1.56{col 58}{space 3}0.119{col 66}{space 4} -.003273{col 79}{space 3} .0288373
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}  .003874{col 38}{space 2} .0052551{col 49}{space 1}    0.74{col 58}{space 3}0.461{col 66}{space 4}-.0064284{col 79}{space 3} .0141765
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}  .025009{col 38}{space 2} .0064464{col 49}{space 1}    3.88{col 58}{space 3}0.000{col 66}{space 4} .0123711{col 79}{space 3} .0376469
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} -.013657{col 38}{space 2} .0071002{col 49}{space 1}   -1.92{col 58}{space 3}0.054{col 66}{space 4}-.0275768{col 79}{space 3} .0002628
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0323009{col 38}{space 2} .0070117{col 49}{space 1}   -4.61{col 58}{space 3}0.000{col 66}{space 4}-.0460472{col 79}{space 3}-.0185546
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}  -.03979{col 38}{space 2}  .007116{col 49}{space 1}   -5.59{col 58}{space 3}0.000{col 66}{space 4}-.0537407{col 79}{space 3}-.0258393
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0308931{col 38}{space 2}  .007188{col 49}{space 1}   -4.30{col 58}{space 3}0.000{col 66}{space 4}-.0449851{col 79}{space 3}-.0168011
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0019771{col 38}{space 2} .0073615{col 49}{space 1}    0.27{col 58}{space 3}0.788{col 66}{space 4} -.012455{col 79}{space 3} .0164092
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0008134{col 38}{space 2} .0077525{col 49}{space 1}   -0.10{col 58}{space 3}0.916{col 66}{space 4} -.016012{col 79}{space 3} .0143852
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0051517{col 38}{space 2} .0079556{col 49}{space 1}    0.65{col 58}{space 3}0.517{col 66}{space 4}-.0104451{col 79}{space 3} .0207485
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0269473{col 38}{space 2} .0085097{col 49}{space 1}    3.17{col 58}{space 3}0.002{col 66}{space 4} .0102641{col 79}{space 3} .0436304
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0012297{col 38}{space 2} .0084766{col 49}{space 1}    0.15{col 58}{space 3}0.885{col 66}{space 4}-.0153885{col 79}{space 3} .0178478
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0250099{col 38}{space 2} .0085213{col 49}{space 1}   -2.93{col 58}{space 3}0.003{col 66}{space 4}-.0417157{col 79}{space 3}-.0083041
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}  .118661{col 38}{space 2} .0326985{col 49}{space 1}    3.63{col 58}{space 3}0.000{col 66}{space 4} .0545564{col 79}{space 3} .1827656
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .28395342
                 {txt}sigma_e {c |} {res} .21920965
                     {txt}rho {c |} {res} .62657779{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET epov i.year if include2==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    36,155
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     4,907

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0102{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0034{col 63}{txt}avg{col 67}={col 69}{res}       7.4
{txt}     Overall = {res}0.0052{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}4906{txt}){col 67}={col 70}{res}    18.46
{txt}corr(u_i, Xb) = {res}0.0122{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:4,907} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0201183{col 26}{space 2} .0090298{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0024158{col 67}{space 3} .0378208
{txt}{space 8}epov {c |}{col 14}{res}{space 2}-.0034604{col 26}{space 2} .0078445{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.0188392{col 67}{space 3} .0119184
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0259845{col 26}{space 2} .0062659{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} .0137006{col 67}{space 3} .0382684
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0089307{col 26}{space 2}   .00677{col 37}{space 1}   -1.32{col 46}{space 3}0.187{col 54}{space 4}-.0222029{col 67}{space 3} .0043416
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0297505{col 26}{space 2} .0066578{col 37}{space 1}   -4.47{col 46}{space 3}0.000{col 54}{space 4}-.0428028{col 67}{space 3}-.0166983
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0379789{col 26}{space 2} .0067182{col 37}{space 1}   -5.65{col 46}{space 3}0.000{col 54}{space 4}-.0511496{col 67}{space 3}-.0248082
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0269373{col 26}{space 2} .0067861{col 37}{space 1}   -3.97{col 46}{space 3}0.000{col 54}{space 4} -.040241{col 67}{space 3}-.0136336
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .0028856{col 26}{space 2} .0068565{col 37}{space 1}    0.42{col 46}{space 3}0.674{col 54}{space 4}-.0105561{col 67}{space 3} .0163274
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0004518{col 26}{space 2} .0071688{col 37}{space 1}   -0.06{col 46}{space 3}0.950{col 54}{space 4} -.014506{col 67}{space 3} .0136023
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0044212{col 26}{space 2} .0073508{col 37}{space 1}    0.60{col 46}{space 3}0.548{col 54}{space 4}-.0099898{col 67}{space 3} .0188321
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0287802{col 26}{space 2} .0078246{col 37}{space 1}    3.68{col 46}{space 3}0.000{col 54}{space 4} .0134404{col 67}{space 3}   .04412
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .0046963{col 26}{space 2} .0076727{col 37}{space 1}    0.61{col 46}{space 3}0.541{col 54}{space 4}-.0103455{col 67}{space 3} .0197381
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0219211{col 26}{space 2} .0076019{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4}-.0368242{col 67}{space 3}-.0070181
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  .144607{col 26}{space 2} .0055378{col 37}{space 1}   26.11{col 46}{space 3}0.000{col 54}{space 4} .1337504{col 67}{space 3} .1554636
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  .2819703
     {txt}sigma_e {c |} {res} .22053648
         {txt}rho {c |} {res} .62045437{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  extremeright ATET epov i.oplcat   lninc i.employ renter i.year if include2==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    33,273
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     4,634

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0112{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0016{col 63}{txt}avg{col 67}={col 69}{res}       7.2
{txt}     Overall = {res}0.0002{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}25{txt},{res}4633{txt}){col 67}={col 70}{res}     9.42
{txt}corr(u_i, Xb) = {res}-0.0878{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:4,634} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0181569{col 38}{space 2} .0094674{col 49}{space 1}    1.92{col 58}{space 3}0.055{col 66}{space 4}-.0004037{col 79}{space 3} .0367175
{txt}{space 20}epov {c |}{col 26}{res}{space 2}-.0012596{col 38}{space 2} .0082673{col 49}{space 1}   -0.15{col 58}{space 3}0.879{col 66}{space 4}-.0174674{col 79}{space 3} .0149483
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0253101{col 38}{space 2} .0299079{col 49}{space 1}   -0.85{col 58}{space 3}0.397{col 66}{space 4}-.0839439{col 79}{space 3} .0333237
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0125563{col 38}{space 2} .0284546{col 49}{space 1}    0.44{col 58}{space 3}0.659{col 66}{space 4}-.0432282{col 79}{space 3} .0683408
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0246847{col 38}{space 2} .0284644{col 49}{space 1}    0.87{col 58}{space 3}0.386{col 66}{space 4}-.0311191{col 79}{space 3} .0804885
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0190087{col 38}{space 2} .0255851{col 49}{space 1}    0.74{col 58}{space 3}0.458{col 66}{space 4}-.0311503{col 79}{space 3} .0691676
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0115095{col 38}{space 2} .0275406{col 49}{space 1}   -0.42{col 58}{space 3}0.676{col 66}{space 4}-.0655022{col 79}{space 3} .0424833
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0010673{col 38}{space 2} .0029166{col 49}{space 1}    0.37{col 58}{space 3}0.714{col 66}{space 4}-.0046507{col 79}{space 3} .0067853
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0082633{col 38}{space 2} .0134027{col 49}{space 1}    0.62{col 58}{space 3}0.538{col 66}{space 4}-.0180123{col 79}{space 3}  .034539
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0132774{col 38}{space 2} .0088658{col 49}{space 1}    1.50{col 58}{space 3}0.134{col 66}{space 4}-.0041037{col 79}{space 3} .0306586
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0145516{col 38}{space 2} .0184632{col 49}{space 1}    0.79{col 58}{space 3}0.431{col 66}{space 4}-.0216451{col 79}{space 3} .0507483
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0080402{col 38}{space 2} .0126401{col 49}{space 1}    0.64{col 58}{space 3}0.525{col 66}{space 4}-.0167404{col 79}{space 3} .0328208
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0119416{col 38}{space 2} .0080468{col 49}{space 1}    1.48{col 58}{space 3}0.138{col 66}{space 4} -.003834{col 79}{space 3} .0277173
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0025589{col 38}{space 2} .0052464{col 49}{space 1}    0.49{col 58}{space 3}0.626{col 66}{space 4}-.0077265{col 79}{space 3} .0128443
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0251823{col 38}{space 2} .0064018{col 49}{space 1}    3.93{col 58}{space 3}0.000{col 66}{space 4} .0126317{col 79}{space 3} .0377329
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0120027{col 38}{space 2} .0070444{col 49}{space 1}   -1.70{col 58}{space 3}0.088{col 66}{space 4}-.0258131{col 79}{space 3} .0018077
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0320321{col 38}{space 2} .0069658{col 49}{space 1}   -4.60{col 58}{space 3}0.000{col 66}{space 4}-.0456884{col 79}{space 3}-.0183757
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0394151{col 38}{space 2} .0070676{col 49}{space 1}   -5.58{col 58}{space 3}0.000{col 66}{space 4} -.053271{col 79}{space 3}-.0255592
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} -.030555{col 38}{space 2} .0071541{col 49}{space 1}   -4.27{col 58}{space 3}0.000{col 66}{space 4}-.0445804{col 79}{space 3}-.0165295
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0019666{col 38}{space 2} .0073104{col 49}{space 1}    0.27{col 58}{space 3}0.788{col 66}{space 4}-.0123652{col 79}{space 3} .0162985
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0005678{col 38}{space 2} .0077198{col 49}{space 1}   -0.07{col 58}{space 3}0.941{col 66}{space 4}-.0157023{col 79}{space 3} .0145667
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0042951{col 38}{space 2} .0078873{col 49}{space 1}    0.54{col 58}{space 3}0.586{col 66}{space 4}-.0111677{col 79}{space 3} .0197579
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0255027{col 38}{space 2} .0084206{col 49}{space 1}    3.03{col 58}{space 3}0.002{col 66}{space 4} .0089944{col 79}{space 3}  .042011
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0011138{col 38}{space 2} .0083605{col 49}{space 1}    0.13{col 58}{space 3}0.894{col 66}{space 4}-.0152769{col 79}{space 3} .0175044
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0249784{col 38}{space 2} .0084074{col 49}{space 1}   -2.97{col 58}{space 3}0.003{col 66}{space 4}-.0414608{col 79}{space 3} -.008496
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1231995{col 38}{space 2} .0321861{col 49}{space 1}    3.83{col 58}{space 3}0.000{col 66}{space 4} .0600995{col 79}{space 3} .1862996
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .28323501
                 {txt}sigma_e {c |} {res}  .2193235
                     {txt}rho {c |} {res} .62514828{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET  i.year if include==1 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    38086
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     4915

{txt}R-sq:  Within  = {res}0.0135                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0137                                        {txt}avg = {res}      7.7
{txt}       Overall = {res}0.0077                                        {txt}max = {res}       11

                                                {txt}F({res}11{txt},{res}4914{txt})         = {res}    45.12
{txt}corr(u_i, Xb)  = {res}0.0389                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:4,915} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}  .247292{col 26}{space 2} .0505995{col 37}{space 1}    4.89{col 46}{space 3}0.000{col 54}{space 4} .1480943{col 67}{space 3} .3464896
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1324879{col 26}{space 2} .0400585{col 37}{space 1}    3.31{col 46}{space 3}0.001{col 54}{space 4} .0539554{col 67}{space 3} .2110204
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .5348493{col 26}{space 2} .0424235{col 37}{space 1}   12.61{col 46}{space 3}0.000{col 54}{space 4} .4516803{col 67}{space 3} .6180183
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2685715{col 26}{space 2} .0445087{col 37}{space 1}    6.03{col 46}{space 3}0.000{col 54}{space 4} .1813146{col 67}{space 3} .3558285
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .4765364{col 26}{space 2} .0447857{col 37}{space 1}   10.64{col 46}{space 3}0.000{col 54}{space 4} .3887364{col 67}{space 3} .5643365
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}  .317446{col 26}{space 2}  .046778{col 37}{space 1}    6.79{col 46}{space 3}0.000{col 54}{space 4} .2257403{col 67}{space 3} .4091517
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3350823{col 26}{space 2} .0485265{col 37}{space 1}    6.91{col 46}{space 3}0.000{col 54}{space 4} .2399486{col 67}{space 3}  .430216
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0373292{col 26}{space 2} .0490634{col 37}{space 1}   -0.76{col 46}{space 3}0.447{col 54}{space 4}-.1335153{col 67}{space 3} .0588569
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .3722161{col 26}{space 2} .0507844{col 37}{space 1}    7.33{col 46}{space 3}0.000{col 54}{space 4}  .272656{col 67}{space 3} .4717762
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2645542{col 26}{space 2} .0510886{col 37}{space 1}    5.18{col 46}{space 3}0.000{col 54}{space 4} .1643978{col 67}{space 3} .3647107
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .2513033{col 26}{space 2} .0534964{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .1464264{col 67}{space 3} .3561803
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.344716{col 26}{space 2} .0366751{col 37}{space 1}  -63.93{col 46}{space 3}0.000{col 54}{space 4}-2.416616{col 67}{space 3}-2.272817
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.1031193
     {txt}sigma_e {c |} {res} 1.5631332
         {txt}rho {c |} {res} .79761127{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  PVVsympmean ATET i.oplcat   lninc i.employ renter  i.year if include==1 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}    34986
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     4673

{txt}R-sq:  Within  = {res}0.0168                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0887                                        {txt}avg = {res}      7.5
{txt}       Overall = {res}0.0661                                        {txt}max = {res}       11

                                                {txt}F({res}23{txt},{res}4672{txt})         = {res}    22.57
{txt}corr(u_i, Xb)  = {res}0.1776                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:4,673} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2240559{col 38}{space 2} .0521114{col 49}{space 1}    4.30{col 58}{space 3}0.000{col 66}{space 4}  .121893{col 79}{space 3} .3262188
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} -.100337{col 38}{space 2} .2000045{col 49}{space 1}   -0.50{col 58}{space 3}0.616{col 66}{space 4}-.4924403{col 79}{space 3} .2917662
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.1755464{col 38}{space 2} .2095546{col 49}{space 1}   -0.84{col 58}{space 3}0.402{col 66}{space 4}-.5863723{col 79}{space 3} .2352795
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0865803{col 38}{space 2} .1978945{col 49}{space 1}   -0.44{col 58}{space 3}0.662{col 66}{space 4} -.474547{col 79}{space 3} .3013864
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.4644422{col 38}{space 2} .2040989{col 49}{space 1}   -2.28{col 58}{space 3}0.023{col 66}{space 4}-.8645725{col 79}{space 3} -.064312
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.8766093{col 38}{space 2} .2406226{col 49}{space 1}   -3.64{col 58}{space 3}0.000{col 66}{space 4}-1.348343{col 79}{space 3}-.4048755
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0016509{col 38}{space 2} .0251903{col 49}{space 1}    0.07{col 58}{space 3}0.948{col 66}{space 4}-.0477339{col 79}{space 3} .0510357
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0866947{col 38}{space 2} .1014962{col 49}{space 1}    0.85{col 58}{space 3}0.393{col 66}{space 4}-.1122857{col 79}{space 3} .2856751
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}  .087115{col 38}{space 2} .0705057{col 49}{space 1}    1.24{col 58}{space 3}0.217{col 66}{space 4}-.0511094{col 79}{space 3} .2253393
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .2988573{col 38}{space 2} .1262739{col 49}{space 1}    2.37{col 58}{space 3}0.018{col 66}{space 4} .0513009{col 79}{space 3} .5464138
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1461081{col 38}{space 2} .1144286{col 49}{space 1}    1.28{col 58}{space 3}0.202{col 66}{space 4}-.0782259{col 79}{space 3} .3704421
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1233765{col 38}{space 2} .0661325{col 49}{space 1}    1.87{col 58}{space 3}0.062{col 66}{space 4}-.0062744{col 79}{space 3} .2530275
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0143594{col 38}{space 2} .0361682{col 49}{space 1}    0.40{col 58}{space 3}0.691{col 66}{space 4}-.0565473{col 79}{space 3} .0852661
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1218373{col 38}{space 2} .0411223{col 49}{space 1}    2.96{col 58}{space 3}0.003{col 66}{space 4} .0412183{col 79}{space 3} .2024563
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5177143{col 38}{space 2} .0442448{col 49}{space 1}   11.70{col 58}{space 3}0.000{col 66}{space 4} .4309735{col 79}{space 3}  .604455
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2640751{col 38}{space 2}  .045936{col 49}{space 1}    5.75{col 58}{space 3}0.000{col 66}{space 4} .1740188{col 79}{space 3} .3541314
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .4827723{col 38}{space 2} .0462569{col 49}{space 1}   10.44{col 58}{space 3}0.000{col 66}{space 4} .3920869{col 79}{space 3} .5734577
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3255099{col 38}{space 2} .0489551{col 49}{space 1}    6.65{col 58}{space 3}0.000{col 66}{space 4} .2295348{col 79}{space 3}  .421485
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3562568{col 38}{space 2} .0509568{col 49}{space 1}    6.99{col 58}{space 3}0.000{col 66}{space 4} .2563574{col 79}{space 3} .4561561
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0297904{col 38}{space 2} .0517308{col 49}{space 1}   -0.58{col 58}{space 3}0.565{col 66}{space 4}-.1312072{col 79}{space 3} .0716265
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4005539{col 38}{space 2} .0538186{col 49}{space 1}    7.44{col 58}{space 3}0.000{col 66}{space 4} .2950441{col 79}{space 3} .5060638
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .2706091{col 38}{space 2} .0549003{col 49}{space 1}    4.93{col 58}{space 3}0.000{col 66}{space 4} .1629787{col 79}{space 3} .3782396
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .2632269{col 38}{space 2} .0577713{col 49}{space 1}    4.56{col 58}{space 3}0.000{col 66}{space 4} .1499679{col 79}{space 3} .3764859
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.226492{col 38}{space 2} .2595768{col 49}{space 1}   -8.58{col 58}{space 3}0.000{col 66}{space 4}-2.735386{col 79}{space 3}-1.717599
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.0345274
                 {txt}sigma_e {c |} {res}  1.547161
                     {txt}rho {c |} {res} .79368263{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET epov i.year if include2==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    38,717
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     4,918

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0138{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0067{col 63}{txt}avg{col 67}={col 69}{res}       7.9
{txt}     Overall = {res}0.0051{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}4917{txt}){col 67}={col 70}{res}    42.58
{txt}corr(u_i, Xb) = {res}0.0210{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:4,918} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .3313957{col 26}{space 2} .0652035{col 37}{space 1}    5.08{col 46}{space 3}0.000{col 54}{space 4} .2035677{col 67}{space 3} .4592237
{txt}{space 8}epov {c |}{col 14}{res}{space 2}-.1303875{col 26}{space 2}  .060741{col 37}{space 1}   -2.15{col 46}{space 3}0.032{col 54}{space 4} -.249467{col 67}{space 3}-.0113081
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1421589{col 26}{space 2} .0395899{col 37}{space 1}    3.59{col 46}{space 3}0.000{col 54}{space 4} .0645449{col 67}{space 3} .2197728
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .5364656{col 26}{space 2} .0420817{col 37}{space 1}   12.75{col 46}{space 3}0.000{col 54}{space 4} .4539666{col 67}{space 3} .6189646
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2732013{col 26}{space 2} .0441888{col 37}{space 1}    6.18{col 46}{space 3}0.000{col 54}{space 4} .1865715{col 67}{space 3} .3598312
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .4885206{col 26}{space 2} .0446316{col 37}{space 1}   10.95{col 46}{space 3}0.000{col 54}{space 4} .4010228{col 67}{space 3} .5760184
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .3098148{col 26}{space 2} .0461786{col 37}{space 1}    6.71{col 46}{space 3}0.000{col 54}{space 4}  .219284{col 67}{space 3} .4003455
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3275183{col 26}{space 2} .0476939{col 37}{space 1}    6.87{col 46}{space 3}0.000{col 54}{space 4} .2340168{col 67}{space 3} .4210197
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0534212{col 26}{space 2} .0484702{col 37}{space 1}   -1.10{col 46}{space 3}0.270{col 54}{space 4}-.1484444{col 67}{space 3}  .041602
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}  .364428{col 26}{space 2} .0500279{col 37}{space 1}    7.28{col 46}{space 3}0.000{col 54}{space 4} .2663511{col 67}{space 3}  .462505
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .2591018{col 26}{space 2} .0502343{col 37}{space 1}    5.16{col 46}{space 3}0.000{col 54}{space 4} .1606202{col 67}{space 3} .3575834
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .2395656{col 26}{space 2} .0526519{col 37}{space 1}    4.55{col 46}{space 3}0.000{col 54}{space 4} .1363443{col 67}{space 3} .3427868
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.336609{col 26}{space 2} .0365149{col 37}{space 1}  -63.99{col 46}{space 3}0.000{col 54}{space 4}-2.408194{col 67}{space 3}-2.265023
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.1015257
     {txt}sigma_e {c |} {res} 1.5678459
         {txt}rho {c |} {res} .79647114{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  PVVsympmean ATET epov i.oplcat   lninc i.employ renter i.year if include2==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    35,580
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     4,679

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0173{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0785{col 63}{txt}avg{col 67}={col 69}{res}       7.6
{txt}     Overall = {res}0.0569{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}24{txt},{res}4678{txt}){col 67}={col 70}{res}    22.48
{txt}corr(u_i, Xb) = {res}0.1628{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:4,679} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .3139748{col 38}{space 2} .0668693{col 49}{space 1}    4.70{col 58}{space 3}0.000{col 66}{space 4} .1828795{col 79}{space 3} .4450702
{txt}{space 20}epov {c |}{col 26}{res}{space 2}-.1387488{col 38}{space 2} .0630583{col 49}{space 1}   -2.20{col 58}{space 3}0.028{col 66}{space 4}-.2623727{col 79}{space 3}-.0151248
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0940305{col 38}{space 2} .1989642{col 49}{space 1}   -0.47{col 58}{space 3}0.637{col 66}{space 4}-.4840942{col 79}{space 3} .2960332
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.1612014{col 38}{space 2} .2047288{col 49}{space 1}   -0.79{col 58}{space 3}0.431{col 66}{space 4}-.5625664{col 79}{space 3} .2401636
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0827813{col 38}{space 2} .1975556{col 49}{space 1}   -0.42{col 58}{space 3}0.675{col 66}{space 4}-.4700833{col 79}{space 3} .3045207
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.3766997{col 38}{space 2} .2060692{col 49}{space 1}   -1.83{col 58}{space 3}0.068{col 66}{space 4}-.7806925{col 79}{space 3} .0272931
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.8364595{col 38}{space 2} .2367288{col 49}{space 1}   -3.53{col 58}{space 3}0.000{col 66}{space 4}-1.300559{col 79}{space 3}-.3723596
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0122087{col 38}{space 2} .0232891{col 49}{space 1}   -0.52{col 58}{space 3}0.600{col 66}{space 4}-.0578662{col 79}{space 3} .0334488
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0911199{col 38}{space 2}  .101649{col 49}{space 1}    0.90{col 58}{space 3}0.370{col 66}{space 4}-.1081601{col 79}{space 3} .2903999
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .1207494{col 38}{space 2}  .071452{col 49}{space 1}    1.69{col 58}{space 3}0.091{col 66}{space 4}-.0193303{col 79}{space 3} .2608291
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .3161742{col 38}{space 2} .1215143{col 49}{space 1}    2.60{col 58}{space 3}0.009{col 66}{space 4} .0779488{col 79}{space 3} .5543995
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1438358{col 38}{space 2} .1129518{col 49}{space 1}    1.27{col 58}{space 3}0.203{col 66}{space 4}-.0776029{col 79}{space 3} .3652745
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}  .134753{col 38}{space 2} .0664805{col 49}{space 1}    2.03{col 58}{space 3}0.043{col 66}{space 4}   .00442{col 79}{space 3}  .265086
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2} .0061799{col 38}{space 2} .0361516{col 49}{space 1}    0.17{col 58}{space 3}0.864{col 66}{space 4}-.0646943{col 79}{space 3}  .077054
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1296427{col 38}{space 2}  .040654{col 49}{space 1}    3.19{col 58}{space 3}0.001{col 66}{space 4} .0499418{col 79}{space 3} .2093436
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5187733{col 38}{space 2} .0438284{col 49}{space 1}   11.84{col 58}{space 3}0.000{col 66}{space 4}  .432849{col 79}{space 3} .6046976
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2696982{col 38}{space 2} .0456301{col 49}{space 1}    5.91{col 58}{space 3}0.000{col 66}{space 4} .1802417{col 79}{space 3} .3591547
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}  .495365{col 38}{space 2} .0460973{col 49}{space 1}   10.75{col 58}{space 3}0.000{col 66}{space 4} .4049925{col 79}{space 3} .5857375
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3161797{col 38}{space 2} .0484853{col 49}{space 1}    6.52{col 58}{space 3}0.000{col 66}{space 4} .2211257{col 79}{space 3} .4112336
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3471238{col 38}{space 2} .0501907{col 49}{space 1}    6.92{col 58}{space 3}0.000{col 66}{space 4} .2487264{col 79}{space 3} .4455213
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0456673{col 38}{space 2} .0512906{col 49}{space 1}   -0.89{col 58}{space 3}0.373{col 66}{space 4}-.1462211{col 79}{space 3} .0548865
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}  .390456{col 38}{space 2} .0531354{col 49}{space 1}    7.35{col 58}{space 3}0.000{col 66}{space 4} .2862856{col 79}{space 3} .4946264
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .2652857{col 38}{space 2} .0541432{col 49}{space 1}    4.90{col 58}{space 3}0.000{col 66}{space 4} .1591395{col 79}{space 3}  .371432
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .2494559{col 38}{space 2} .0570559{col 49}{space 1}    4.37{col 58}{space 3}0.000{col 66}{space 4} .1375995{col 79}{space 3} .3613123
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.140866{col 38}{space 2} .2477868{col 49}{space 1}   -8.64{col 58}{space 3}0.000{col 66}{space 4}-2.626645{col 79}{space 3}-1.655088
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.0413309
                 {txt}sigma_e {c |} {res} 1.5521651
                     {txt}rho {c |} {res} .79335834{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
. 
. 
. *Table with all the control variables
. 
.   *Table with all the control variables
.   esttab using "regression2appendixb.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression2appendixb.tex"'})

{com}. 
.  
.  
.   *Same but now for energypoverty
.   
.    *Matching on 2013 levels
.  
.    set seed 12345
{txt}
{com}.  
.  drop matchid
{txt}
{com}.  drop includenew
{txt}
{com}.  drop _matchResult
{txt}
{com}.   drop _matchID
{txt}
{com}.   drop _matchDiff
{txt}
{com}.  drop matchidnew
{txt}
{com}.  
.     psmatch2 epov i.oplcat   lninc i.employ renter if year==2013, outcome(extremeright)
{res}
{txt}{col 1}Probit regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:3,609}
{txt}{col 57}{lalign 13:LR chi2({res:12})}{col 70} = {res}{ralign 6:503.28}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-1633.4055}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1335}

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    epov{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.3478738{col 38}{space 2} .0980616{col 49}{space 1}   -3.55{col 58}{space 3}0.000{col 66}{space 4} -.540071{col 79}{space 3}-.1556766
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.5724471{col 38}{space 2} .1224376{col 49}{space 1}   -4.68{col 58}{space 3}0.000{col 66}{space 4}-.8124204{col 79}{space 3}-.3324738
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.4272012{col 38}{space 2} .1029236{col 49}{space 1}   -4.15{col 58}{space 3}0.000{col 66}{space 4}-.6289277{col 79}{space 3}-.2254746
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.6862542{col 38}{space 2} .1038688{col 49}{space 1}   -6.61{col 58}{space 3}0.000{col 66}{space 4}-.8898334{col 79}{space 3}-.4826751
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.6300875{col 38}{space 2} .1246495{col 49}{space 1}   -5.05{col 58}{space 3}0.000{col 66}{space 4}-.8743961{col 79}{space 3}-.3857789
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.3811358{col 38}{space 2} .0261625{col 49}{space 1}  -14.57{col 58}{space 3}0.000{col 66}{space 4}-.4324134{col 79}{space 3}-.3298582
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .3914551{col 38}{space 2} .1013524{col 49}{space 1}    3.86{col 58}{space 3}0.000{col 66}{space 4}  .192808{col 79}{space 3} .5901022
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .5821188{col 38}{space 2} .0791599{col 49}{space 1}    7.35{col 58}{space 3}0.000{col 66}{space 4} .4269682{col 79}{space 3} .7372693
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-1.267465{col 38}{space 2} .1989347{col 49}{space 1}   -6.37{col 58}{space 3}0.000{col 66}{space 4} -1.65737{col 79}{space 3}-.8775599
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .2806896{col 38}{space 2} .0924047{col 49}{space 1}    3.04{col 58}{space 3}0.002{col 66}{space 4} .0995798{col 79}{space 3} .4617994
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0527621{col 38}{space 2} .0640236{col 49}{space 1}    0.82{col 58}{space 3}0.410{col 66}{space 4}-.0727217{col 79}{space 3}  .178246
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}  .137686{col 38}{space 2} .0522324{col 49}{space 1}    2.64{col 58}{space 3}0.008{col 66}{space 4} .0353125{col 79}{space 3} .2400596
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 2.421924{col 38}{space 2} .2287295{col 49}{space 1}   10.59{col 58}{space 3}0.000{col 66}{space 4} 1.973622{col 79}{space 3} 2.870225
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{hline 28}{c TT}{hline 59}
        Variable     Sample {c |}    Treated     Controls   Difference         S.E.   T-stat
{hline 28}{c +}{hline 59}
    extremeright  Unmatched {c |}{res} .161331626   .109971711   .051359915   .013162986     3.90
{txt}{col 17}        ATT {c |}{res} .161331626   .099871959   .061459667   .023761706     2.59
{txt}{hline 28}{c +}{hline 59}
Note: S.E. does not take into account that the propensity score is estimated.

           {c |} psmatch2:
 psmatch2: {c |}   Common
 Treatment {c |}  support
assignment {c |} On suppor {c |}     Total
{hline 11}{c +}{hline 11}{c +}{hline 10}
 Untreated {c |}{res}     2,828 {txt}{c |}{res}     2,828 
{txt}   Treated {c |}{res}       781 {txt}{c |}{res}       781 
{txt}{hline 11}{c +}{hline 11}{c +}{hline 10}
     Total {c |}{res}     3,609 {txt}{c |}{res}     3,609 
{txt}
{com}. 
.    iematch, grpdummy(epov) matchvar( _pscore ) seedok

{hline}

{pstd}{ul:Observations are excluded from the matching for the following reasons:}{break}
66002 observation(s) were excluded due to missing value in matchvar(_pscore).{break}{p_end}

{hline}{break}
{pstd}{ul:Matching one-to-one. Base observations left to match:}{p_end}
{pstd}781 351 225 170 145 137 130 126 123 121 119 117 115 113 111 109 107 105 103 101 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 {p_end}

{hline}

{pstd}{ul:Output of Matching Result:}{p_end}

{col 5}{center 22:_matchResult}{col 27} {centre 23:epov }
{col 4}{c LT}{hline 22}{c +}{hline 23}{c RT}
{col 4}{c |}{center 22:value and result}{col 27}{c |} 1 (base)   0 (target) {c |}
{col 4}{c LT}{hline 22}{c +}{hline 10}{c +}{hline 12}{c RT}
{col 4}{c |} 1 Matched{col 27}{c |}{ralign 10 :781 }{col 38}{c |}{ralign 12 :781 }{col 51}{c |}
{col 4}{c |} 0 Not matched{col 27}{c |}{ralign 10 :0 }{col 38}{c |}{ralign 12 :2,047 }{col 51}{c |}
{col 4}{c |}.m Missing matchvar(){col 27}{c |}{ralign 10 :12,367 }{col 38}{c |}{ralign 12 :53,635 }{col 51}{c |}
{col 4}{c LT}{hline 22}{c +}{hline 10}{c +}{hline 12}{c RT}
{col 4}{c |}{center 22:N per group}{col 27}{c |}{ralign 10 :13,148 }{col 38}{c |}{ralign 12 :56,463 }{col 51}{c |}
{col 4}{c LT}{hline 22}{c +}{hline 10}{c BT}{hline 12}{c RT}
{col 4}{c |}{center 22:Total N}{col 27}{c |}{centre 23:69,611}{col 51}{c |}
{col 4}{c BLC}{hline 22}{c BT}{hline 23}{c BRC}
{txt}
{com}.    gen matchid=nomem_encr if _matchResult==1
{txt}(68,049 missing values generated)

{com}. 
.    xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}.                   bysort nomem_encr (year) : egen matchidnew = max(matchid)
{txt}(55,402 missing values generated)

{com}.  
.                   
.                     *Panel regressions that allow for within person changes
.         
. gen includenew=1 if matchidnew != .
{txt}(55,402 missing values generated)

{com}.   
.  tab includenew ownservice if year==2013

           {txt}{c |}    Ownership with
           {c |} Housing Association?
includenew {c |} No servic  Service c {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}       191         75 {txt}{c |}{res}       266 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       191         75 {txt}{c |}{res}       266 
{txt}
{com}.  
.           *Summary tables
.   est clear
{res}{txt}
{com}. eststo grp1: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6  lninc deduc1-deduc6 status1-status6 renter if ownservice==0 & Post==0 & includenew==1  

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:extremeright}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      898}}}{space 1}{space 1}{ralign 9:{res:{sf:      898}}}{space 1}{space 1}{ralign 9:{res:{sf: .1191537}}}{space 1}{space 1}{ralign 9:{res:{sf: .1050731}}}{space 1}{space 1}{ralign 9:{res:{sf: .3241498}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      107}}}{space 1}
{space 0}{space 0}{ralign 12:PVVsympmean}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      776}}}{space 1}{space 1}{ralign 9:{res:{sf:      776}}}{space 1}{space 1}{ralign 9:{res:{sf:-1.986727}}}{space 1}{space 1}{ralign 9:{res:{sf: 11.66893}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.415982}}}{space 1}{space 1}{ralign 9:{res:{sf:     -8.4}}}{space 1}{space 1}{ralign 9:{res:{sf:       10}}}{space 1}{space 1}{ralign 9:{res:{sf:  -1541.7}}}{space 1}
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{com}. eststo grp2: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6   lninc deduc1-deduc6 status1-status6 renter if ownservice==1 & Post==0 & includenew==1

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{com}. eststo grp3: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6  lninc deduc1-deduc6 status1-status6 renter if ownservice==0 & Post==1 & includenew==1

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{com}. 
. eststo grp4: estpost summ extremeright PVVsympmean GL price1 immigration EU leftright status1-status6   lninc deduc1-deduc6 status1-status6 renter if ownservice==1 & Post==1 & includenew==1

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{space 0}{space 0}{ralign 12:status3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf: .1169916}}}{space 1}{space 1}{ralign 9:{res:{sf: .1035932}}}{space 1}{space 1}{ralign 9:{res:{sf: .3218589}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       42}}}{space 1}
{space 0}{space 0}{ralign 12:status4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:status5}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf: .0389972}}}{space 1}{space 1}{ralign 9:{res:{sf: .0375811}}}{space 1}{space 1}{ralign 9:{res:{sf: .1938585}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       14}}}{space 1}
{space 0}{space 0}{ralign 12:status6}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf: .4846797}}}{space 1}{space 1}{ralign 9:{res:{sf:  .250463}}}{space 1}{space 1}{ralign 9:{res:{sf: .5004627}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      174}}}{space 1}
{space 0}{space 0}{ralign 12:lninc}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      358}}}{space 1}{space 1}{ralign 9:{res:{sf:      358}}}{space 1}{space 1}{ralign 9:{res:{sf: 7.749268}}}{space 1}{space 1}{ralign 9:{res:{sf: .1974828}}}{space 1}{space 1}{ralign 9:{res:{sf: .4443904}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.818924}}}{space 1}{space 1}{ralign 9:{res:{sf: 9.341456}}}{space 1}{space 1}{ralign 9:{res:{sf: 2774.238}}}{space 1}
{space 0}{space 0}{ralign 12:deduc1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf: .0527778}}}{space 1}{space 1}{ralign 9:{res:{sf: .0501315}}}{space 1}{space 1}{ralign 9:{res:{sf: .2239007}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       19}}}{space 1}
{space 0}{space 0}{ralign 12:deduc2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf: .2388889}}}{space 1}{space 1}{ralign 9:{res:{sf: .1823275}}}{space 1}{space 1}{ralign 9:{res:{sf: .4269982}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       86}}}{space 1}
{space 0}{space 0}{ralign 12:deduc3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf: .0972222}}}{space 1}{space 1}{ralign 9:{res:{sf: .0880145}}}{space 1}{space 1}{ralign 9:{res:{sf: .2966725}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       35}}}{space 1}
{space 0}{space 0}{ralign 12:deduc4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf: .3083333}}}{space 1}{space 1}{ralign 9:{res:{sf: .2138579}}}{space 1}{space 1}{ralign 9:{res:{sf: .4624478}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      111}}}{space 1}
{space 0}{space 0}{ralign 12:deduc5}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf:     .275}}}{space 1}{space 1}{ralign 9:{res:{sf: .1999304}}}{space 1}{space 1}{ralign 9:{res:{sf: .4471357}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       99}}}{space 1}
{space 0}{space 0}{ralign 12:deduc6}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf: .0277778}}}{space 1}{space 1}{ralign 9:{res:{sf: .0270814}}}{space 1}{space 1}{ralign 9:{res:{sf: .1645643}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       10}}}{space 1}
{space 0}{space 0}{ralign 12:status1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf: .3203343}}}{space 1}{space 1}{ralign 9:{res:{sf: .2183284}}}{space 1}{space 1}{ralign 9:{res:{sf: .4672562}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      115}}}{space 1}
{space 0}{space 0}{ralign 12:status2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf: .0389972}}}{space 1}{space 1}{ralign 9:{res:{sf: .0375811}}}{space 1}{space 1}{ralign 9:{res:{sf: .1938585}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       14}}}{space 1}
{space 0}{space 0}{ralign 12:status3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf: .1169916}}}{space 1}{space 1}{ralign 9:{res:{sf: .1035932}}}{space 1}{space 1}{ralign 9:{res:{sf: .3218589}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       42}}}{space 1}
{space 0}{space 0}{ralign 12:status4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:status5}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf: .0389972}}}{space 1}{space 1}{ralign 9:{res:{sf: .0375811}}}{space 1}{space 1}{ralign 9:{res:{sf: .1938585}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       14}}}{space 1}
{space 0}{space 0}{ralign 12:status6}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf:      359}}}{space 1}{space 1}{ralign 9:{res:{sf: .4846797}}}{space 1}{space 1}{ralign 9:{res:{sf:  .250463}}}{space 1}{space 1}{ralign 9:{res:{sf: .5004627}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      174}}}{space 1}
{space 0}{space 0}{ralign 12:renter}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf:      360}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}

{com}. 
.  
. esttab grp* using "summarytablownserviceerty.tex", replace f ///
>    main(mean %6.2f) aux(sd)    nostar nonumber unstack ///
>    compress nonote gap label booktabs    ///
>    mtitle("Not Energy Poor, Pre" "Energy Poor, Pre" "Not Energy Poor, Post"  "Energy Poor, Post")
{res}{txt}(output written to {browse  `"summarytablownserviceerty.tex"'})

{com}.    
.    
. graph drop _all
{txt}
{com}. lgraph extremeright year ownservice if includenew==1,  errortype(ci(95)) xlabel(2008(4)2020) title("Voting for the Radical Right") name(erpov1b) legend(rows(1))
{res}{txt}
{com}. 
. lgraph PVVsympmean year ownservice if includenew==1,  errortype(ci(95)) xlabel(2008(4)2020) title("Relative Sympathy for PVV") name(erpov2b) 
{res}{txt}
{com}. 
. grc1leg erpov1b erpov2b, legendfrom(erpov1b) 
{res}{txt}
{com}. graph export ownservice.png, replace 
{txt}{p 0 4 2}
file {bf}
ownservice.png{rm}
saved as
PNG
format
{p_end}

{com}. 
. drop deltapov
{txt}
{com}. drop cum_POV minyr4 maxyr4 include3
{txt}
{com}.  gen deltapov=abs(d.ownservice)
{txt}(60,635 missing values generated)

{com}.  bysort nomem_encr (year) : gen cum_POV = sum(deltapov)
{txt}
{com}.   *Separate panelids by when people change status
.   drop panelidPOV
{txt}
{com}.  gen panelidPOV =(nomem_encr +.1*cum_POV)*10
{txt}(1 missing value generated)

{com}.  bysort panelidPOV (year) : egen minyr4 = min(year)
{txt}
{com}.  bysort panelidPOV (year) : egen maxyr4 = max(year)
{txt}
{com}. 
.  gen include3=0
{txt}
{com}.  replace include3=1 if minyr4<2015 & maxyr4>2014
{txt}(47,178 real changes made)

{com}.     replace ATET=ownservice
{txt}(59,560 real changes made, 55,521 to missing)

{com}.   replace ATET=0 if Paris==0 & ownservice==1
{txt}(1,404 real changes made)

{com}.   
.   *DiD regressions with no within-person changes
.   
.   xtset panelidPOV year
{res}
{col 1}{txt:Panel variable: }{res:panelidPOV}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. 
.   
.       xtdidregress (extremeright ) (ATET) if renter==0 & includenew==1, group(nomem_encr ) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}nomem_encr {c |}{col 14}{res}{space 1}      359{col 25}{space 2}       86
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2020{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,381}
{txt}Data type: Longitudinal

{res}{txt}{ralign 78:(Std. err. adjusted for {res:445} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET         {txt}{c |}
{space 8}ATET {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0379992{col 26}{space 2} .0331082{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4}-.1030675{col 67}{space 3} .0270692
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for panel effects and time effects.{p_end}

{com}.            xtdidregress (PVVsympmean) (ATET) if include3==1 & includenew==1, group(panelidPOV) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidPOV {c |}{col 14}{res}{space 1}      332{col 25}{space 2}       82
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2020{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,198}
{txt}Data type: Longitudinal

{res}{txt}{ralign 78:(Std. err. adjusted for {res:414} clusters in {res:panelidPOV})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET         {txt}{c |}
{space 8}ATET {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.4117187{col 26}{space 2} .2685477{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4}-.9396095{col 67}{space 3} .1161721
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for panel effects and time effects.{p_end}

{com}.     
.         xtdidregress (extremeright i.oplcat i.employ  lninc ) (ATET) if include3==1 & includenew==1, group(panelidPOV ) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidPOV {c |}{col 14}{res}{space 1}      327{col 25}{space 2}       80
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2020{col 25}{space 2}     2019
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,238}
{txt}Data type: Longitudinal

{res}{txt}{ralign 90:(Std. err. adjusted for {res:407} clusters in {res:panelidPOV})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 20}ATET {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2}-.0370487{col 38}{space 2} .0344654{col 49}{space 1}   -1.07{col 58}{space 3}0.283{col 66}{space 4}-.1048016{col 79}{space 3} .0307042
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for covariates,{txt} panel effects, and time effects.{p_end}

{com}.            xtdidregress (PVVsympmean i.oplcat  i.employ lninc) (ATET) if include3==1 & includenew==1, group(panelidPOV) time(year)
{res}
{txt}Number of groups and treatment time

Time variable: {result:year}
Control:       {result:ATET} = {result:0}
Treatment:     {result:ATET} = {result:1}
{res}{txt}{hline 13}{c TT}{hline 10}{hline 11}
{col 14}{c |}   Control{col 25}  Treatment
{hline 13}{c +}{hline 10}{hline 11}
{res}Group        {txt}{c |}
{space 2}panelidPOV {c |}{col 14}{res}{space 1}      331{col 25}{space 2}       82
{txt}{hline 13}{c +}{hline 10}{hline 11}
{res}Time         {txt}{c |}
{space 5}Minimum {c |}{col 14}{res}{space 1}     2008{col 25}{space 2}     2015
{txt}{space 5}Maximum {c |}{col 14}{res}{space 1}     2020{col 25}{space 2}     2020
{txt}{hline 13}{c BT}{hline 10}{hline 11}

{col 1}Difference-in-differences regression{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,167}
{txt}Data type: Longitudinal

{res}{txt}{ralign 90:(Std. err. adjusted for {res:413} clusters in {res:panelidPOV})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 20}ATET {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2}-.4576922{col 38}{space 2} .2741162{col 49}{space 1}   -1.67{col 58}{space 3}0.096{col 66}{space 4} -.996533{col 79}{space 3} .0811487
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: ATET estimate adjusted for covariates,{txt} panel effects, and time effects.{p_end}

{com}. 
.         
.         
.         *Panel regressions that allow for within person changes
.              xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. 
.                 *Only include observations that have at least one before and one after value
. 
.                    xtreg  extremeright  ATET  i.year if include3==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,273
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       409

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0201{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0091{col 63}{txt}avg{col 67}={col 69}{res}       5.6
{txt}     Overall = {res}0.0094{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}408{txt}){col 67}={col 70}{res}     2.04
{txt}corr(u_i, Xb) = {res}0.0103{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0200

{txt}{ralign 78:(Std. err. adjusted for {res:409} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0380804{col 26}{space 2} .0331086{col 37}{space 1}   -1.15{col 46}{space 3}0.251{col 54}{space 4}-.1031651{col 67}{space 3} .0270043
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0039681{col 26}{space 2} .0258754{col 37}{space 1}    0.15{col 46}{space 3}0.878{col 54}{space 4}-.0468976{col 67}{space 3} .0548338
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0677839{col 26}{space 2} .0327399{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4} -.132144{col 67}{space 3}-.0034239
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0773124{col 26}{space 2} .0308864{col 37}{space 1}   -2.50{col 46}{space 3}0.013{col 54}{space 4}-.1380287{col 67}{space 3}-.0165962
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0683487{col 26}{space 2} .0315576{col 37}{space 1}   -2.17{col 46}{space 3}0.031{col 54}{space 4}-.1303845{col 67}{space 3}-.0063129
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0495114{col 26}{space 2} .0310608{col 37}{space 1}   -1.59{col 46}{space 3}0.112{col 54}{space 4}-.1105705{col 67}{space 3} .0115477
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0260649{col 26}{space 2} .0317442{col 37}{space 1}   -0.82{col 46}{space 3}0.412{col 54}{space 4}-.0884674{col 67}{space 3} .0363377
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0246149{col 26}{space 2} .0351812{col 37}{space 1}   -0.70{col 46}{space 3}0.485{col 54}{space 4} -.093774{col 67}{space 3} .0445441
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0010296{col 26}{space 2} .0381098{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-.0738866{col 67}{space 3} .0759457
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0271801{col 26}{space 2} .0360394{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4}-.0436659{col 67}{space 3} .0980261
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0286785{col 26}{space 2} .0366029{col 37}{space 1}   -0.78{col 46}{space 3}0.434{col 54}{space 4}-.1006322{col 67}{space 3} .0432753
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0229407{col 26}{space 2} .0364111{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.0945175{col 67}{space 3}  .048636
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1768985{col 26}{space 2} .0273652{col 37}{space 1}    6.46{col 46}{space 3}0.000{col 54}{space 4} .1231041{col 67}{space 3} .2306928
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  .2950841
     {txt}sigma_e {c |} {res} .21116645
         {txt}rho {c |} {res} .66133015{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.                     estimates store M9
{txt}
{com}.   xtreg  PVVsympmean ATET  i.year if include3==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,198
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       414

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0141{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0091{col 63}{txt}avg{col 67}={col 69}{res}       5.3
{txt}     Overall = {res}0.0066{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}11{txt},{res}413{txt}){col 67}={col 70}{res}     1.84
{txt}corr(u_i, Xb) = {res}0.0224{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0458

{txt}{ralign 78:(Std. err. adjusted for {res:414} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.4117187{col 26}{space 2} .2685477{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4}-.9396095{col 67}{space 3} .1161721
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1197014{col 26}{space 2} .2247252{col 37}{space 1}    0.53{col 46}{space 3}0.595{col 54}{space 4}-.3220463{col 67}{space 3} .5614492
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .4934871{col 26}{space 2}  .220062{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .0609058{col 67}{space 3} .9260684
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2525751{col 26}{space 2} .2432548{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.2255969{col 67}{space 3} .7307471
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .5072826{col 26}{space 2} .2434733{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0286812{col 67}{space 3} .9858841
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .5685004{col 26}{space 2} .2807394{col 37}{space 1}    2.03{col 46}{space 3}0.044{col 54}{space 4}  .016644{col 67}{space 3} 1.120357
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .4153979{col 26}{space 2} .2857309{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.1462704{col 67}{space 3} .9770661
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .2991154{col 26}{space 2} .2893896{col 37}{space 1}    1.03{col 46}{space 3}0.302{col 54}{space 4}-.2697449{col 67}{space 3} .8679757
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}  .694421{col 26}{space 2} .2874163{col 37}{space 1}    2.42{col 46}{space 3}0.016{col 54}{space 4} .1294397{col 67}{space 3} 1.259402
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .4755148{col 26}{space 2} .2853795{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.0854626{col 67}{space 3} 1.036492
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .5298759{col 26}{space 2} .3010772{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0619589{col 67}{space 3} 1.121711
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.373803{col 26}{space 2} .2140335{col 37}{space 1}  -11.09{col 46}{space 3}0.000{col 54}{space 4}-2.794534{col 67}{space 3}-1.953072
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.0906555
     {txt}sigma_e {c |} {res} 1.5628721
         {txt}rho {c |} {res} .79636297{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.    estimates store M10
{txt}
{com}.        xtreg  extremeright ATET i.oplcat  lninc i.employ renter  i.year if include3==1 & includenew==1, fe vce(cluster nomem_encr)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,238
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       407

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0209{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0092{col 63}{txt}avg{col 67}={col 69}{res}       5.5
{txt}     Overall = {res}0.0005{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(22,406)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1782{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:407} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0370487{col 38}{space 2} .0344654{col 49}{space 1}   -1.07{col 58}{space 3}0.283{col 66}{space 4}-.1048016{col 79}{space 3} .0307042
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0351644{col 38}{space 2} .0322823{col 49}{space 1}   -1.09{col 58}{space 3}0.277{col 66}{space 4}-.0986256{col 79}{space 3} .0282968
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}    .0136{col 38}{space 2} .0273848{col 49}{space 1}    0.50{col 58}{space 3}0.620{col 66}{space 4}-.0402338{col 79}{space 3} .0674337
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0066974{col 38}{space 2} .0285723{col 49}{space 1}   -0.23{col 58}{space 3}0.815{col 66}{space 4}-.0628656{col 79}{space 3} .0494708
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}  .050311{col 38}{space 2} .0681279{col 49}{space 1}    0.74{col 58}{space 3}0.461{col 66}{space 4}-.0836165{col 79}{space 3} .1842386
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0498601{col 38}{space 2} .0570087{col 49}{space 1}    0.87{col 58}{space 3}0.382{col 66}{space 4} -.062209{col 79}{space 3} .1619293
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0011386{col 38}{space 2} .0060884{col 49}{space 1}   -0.19{col 58}{space 3}0.852{col 66}{space 4}-.0131074{col 79}{space 3} .0108302
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0109133{col 38}{space 2} .0227552{col 49}{space 1}   -0.48{col 58}{space 3}0.632{col 66}{space 4} -.055646{col 79}{space 3} .0338194
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0144026{col 38}{space 2} .0310917{col 49}{space 1}    0.46{col 58}{space 3}0.643{col 66}{space 4}-.0467182{col 79}{space 3} .0755235
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0068712{col 38}{space 2} .0246007{col 49}{space 1}   -0.28{col 58}{space 3}0.780{col 66}{space 4}-.0552317{col 79}{space 3} .0414894
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0028585{col 38}{space 2} .0320107{col 49}{space 1}    0.09{col 58}{space 3}0.929{col 66}{space 4}-.0600689{col 79}{space 3} .0657859
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0020094{col 38}{space 2} .0295106{col 49}{space 1}   -0.07{col 58}{space 3}0.946{col 66}{space 4} -.060022{col 79}{space 3} .0560032
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0034624{col 38}{space 2} .0265827{col 49}{space 1}    0.13{col 58}{space 3}0.896{col 66}{space 4}-.0487945{col 79}{space 3} .0557193
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0667514{col 38}{space 2} .0338045{col 49}{space 1}   -1.97{col 58}{space 3}0.049{col 66}{space 4} -.133205{col 79}{space 3}-.0002977
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0801507{col 38}{space 2} .0320339{col 49}{space 1}   -2.50{col 58}{space 3}0.013{col 66}{space 4}-.1431238{col 79}{space 3}-.0171776
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0717564{col 38}{space 2} .0337463{col 49}{space 1}   -2.13{col 58}{space 3}0.034{col 66}{space 4}-.1380957{col 79}{space 3}-.0054172
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0529636{col 38}{space 2} .0329159{col 49}{space 1}   -1.61{col 58}{space 3}0.108{col 66}{space 4}-.1176705{col 79}{space 3} .0117433
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0295759{col 38}{space 2} .0340508{col 49}{space 1}   -0.87{col 58}{space 3}0.386{col 66}{space 4}-.0965138{col 79}{space 3}  .037362
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0273009{col 38}{space 2} .0378239{col 49}{space 1}   -0.72{col 58}{space 3}0.471{col 66}{space 4}-.1016561{col 79}{space 3} .0470543
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0011605{col 38}{space 2}  .041258{col 49}{space 1}   -0.03{col 58}{space 3}0.978{col 66}{space 4}-.0822666{col 79}{space 3} .0799455
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0252064{col 38}{space 2} .0393366{col 49}{space 1}    0.64{col 58}{space 3}0.522{col 66}{space 4}-.0521225{col 79}{space 3} .1025353
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} -.031286{col 38}{space 2} .0402674{col 49}{space 1}   -0.78{col 58}{space 3}0.438{col 66}{space 4}-.1104446{col 79}{space 3} .0478727
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0249175{col 38}{space 2} .0404836{col 49}{space 1}   -0.62{col 58}{space 3}0.539{col 66}{space 4}-.1045012{col 79}{space 3} .0546662
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1846312{col 38}{space 2} .0535679{col 49}{space 1}    3.45{col 58}{space 3}0.001{col 66}{space 4} .0793261{col 79}{space 3} .2899363
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .30025841
                 {txt}sigma_e {c |} {res} .21299099
                     {txt}rho {c |} {res} .66525185{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.             estimates store M11
{txt}
{com}.   xtreg  PVVsympmean ATET  i.oplcat lninc i.employ renter  i.year if include3==1 & includenew==1, fe vce(cluster nomem_encr)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,167
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       413

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0229{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0162{col 63}{txt}avg{col 67}={col 69}{res}       5.2
{txt}     Overall = {res}0.0121{col 63}{txt}max{col 67}={col 69}{res}        11

{col 49}{help j_robustsingular##|_new:F(21,412)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1815{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:413} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.4576922{col 38}{space 2} .2741162{col 49}{space 1}   -1.67{col 58}{space 3}0.096{col 66}{space 4} -.996533{col 79}{space 3} .0811487
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1263511{col 38}{space 2} .4185435{col 49}{space 1}   -0.30{col 58}{space 3}0.763{col 66}{space 4}-.9490982{col 79}{space 3}  .696396
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1363374{col 38}{space 2} .4545598{col 49}{space 1}    0.30{col 58}{space 3}0.764{col 66}{space 4}-.7572084{col 79}{space 3} 1.029883
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0020561{col 38}{space 2} .4752586{col 49}{space 1}    0.00{col 58}{space 3}0.997{col 66}{space 4}-.9321781{col 79}{space 3} .9362902
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0880915{col 38}{space 2} .5935133{col 49}{space 1}    0.15{col 58}{space 3}0.882{col 66}{space 4}-1.078601{col 79}{space 3} 1.254784
{txt}{space 16}college  {c |}{col 26}{res}{space 2} -3.20562{col 38}{space 2} 1.756662{col 49}{space 1}   -1.82{col 58}{space 3}0.069{col 66}{space 4}-6.658758{col 79}{space 3} .2475178
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0640152{col 38}{space 2} .0927937{col 49}{space 1}   -0.69{col 58}{space 3}0.491{col 66}{space 4}-.2464233{col 79}{space 3} .1183929
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .6298837{col 38}{space 2} .3525501{col 49}{space 1}    1.79{col 58}{space 3}0.075{col 66}{space 4}-.0631377{col 79}{space 3} 1.322905
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .2660058{col 38}{space 2} .3204011{col 49}{space 1}    0.83{col 58}{space 3}0.407{col 66}{space 4}-.3638189{col 79}{space 3} .8958306
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}  .491638{col 38}{space 2} .2180398{col 49}{space 1}    2.25{col 58}{space 3}0.025{col 66}{space 4} .0630287{col 79}{space 3} .9202472
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .4391963{col 38}{space 2} .3495183{col 49}{space 1}    1.26{col 58}{space 3}0.210{col 66}{space 4}-.2478652{col 79}{space 3} 1.126258
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .4560734{col 38}{space 2} .3545467{col 49}{space 1}    1.29{col 58}{space 3}0.199{col 66}{space 4}-.2408728{col 79}{space 3}  1.15302
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}  .145153{col 38}{space 2} .2217052{col 49}{space 1}    0.65{col 58}{space 3}0.513{col 66}{space 4}-.2906614{col 79}{space 3} .5809674
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5163048{col 38}{space 2} .2154375{col 49}{space 1}    2.40{col 58}{space 3}0.017{col 66}{space 4}  .092811{col 79}{space 3} .9397986
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2603593{col 38}{space 2} .2378669{col 49}{space 1}    1.09{col 58}{space 3}0.274{col 66}{space 4}-.2072248{col 79}{space 3} .7279433
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .4930195{col 38}{space 2} .2409637{col 49}{space 1}    2.05{col 58}{space 3}0.041{col 66}{space 4} .0193479{col 79}{space 3} .9666911
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .5481444{col 38}{space 2} .2767765{col 49}{space 1}    1.98{col 58}{space 3}0.048{col 66}{space 4} .0040743{col 79}{space 3} 1.092215
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3835754{col 38}{space 2} .2833601{col 49}{space 1}    1.35{col 58}{space 3}0.177{col 66}{space 4}-.1734364{col 79}{space 3} .9405872
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .2918496{col 38}{space 2} .2809286{col 49}{space 1}    1.04{col 58}{space 3}0.299{col 66}{space 4}-.2603827{col 79}{space 3} .8440819
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .6773942{col 38}{space 2}  .284432{col 49}{space 1}    2.38{col 58}{space 3}0.018{col 66}{space 4} .1182752{col 79}{space 3} 1.236513
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .4582589{col 38}{space 2} .2776511{col 49}{space 1}    1.65{col 58}{space 3}0.100{col 66}{space 4}-.0875306{col 79}{space 3} 1.004048
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .5166484{col 38}{space 2} .2988127{col 49}{space 1}    1.73{col 58}{space 3}0.085{col 66}{space 4}-.0707393{col 79}{space 3} 1.104036
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.864127{col 38}{space 2} .8816927{col 49}{space 1}   -2.11{col 58}{space 3}0.035{col 66}{space 4}-3.597304{col 79}{space 3}-.1309493
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.1333252
                 {txt}sigma_e {c |} {res} 1.5682824
                     {txt}rho {c |} {res} .79966911{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.    estimates store M12
{txt}
{com}.  
.       xtreg  extremeright ownservice##renter##Post i.oplcat  lninc i.employ   i.year if include3==1 & includenew==1, fe vce(cluster nomem_encr)
{txt}{p 0 6 2}note: {bf:0.renter} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.ownservice#0.renter} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:0.renter#1.Post} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:1.ownservice#0.renter#1.Post} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:2020.year} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,238
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       407

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0209{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0105{col 63}{txt}avg{col 67}={col 69}{res}       5.5
{txt}     Overall = {res}0.0005{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(23,406)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1756{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 92:(Std. err. adjusted for {res:407} clusters in {res:nomem_encr})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              extremeright{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}ownservice {c |}
{space 12}Service costs  {c |}{col 28}{res}{space 2} .0132843{col 40}{space 2} .0246602{col 51}{space 1}    0.54{col 60}{space 3}0.590{col 68}{space 4}-.0351932{col 81}{space 3} .0617619
{txt}{space 26} {c |}
{space 20}renter {c |}
{space 20}Owner  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 9}ownservice#renter {c |}
{space 6}Service costs#Owner  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 22}Post {c |}
{space 20}After  {c |}{col 28}{res}{space 2}-.0244742{col 40}{space 2} .0406218{col 51}{space 1}   -0.60{col 60}{space 3}0.547{col 68}{space 4}-.1043296{col 81}{space 3} .0553811
{txt}{space 26} {c |}
{space 11}ownservice#Post {c |}
{space 6}Service costs#After  {c |}{col 28}{res}{space 2}-.0386844{col 40}{space 2} .0366537{col 51}{space 1}   -1.06{col 60}{space 3}0.292{col 68}{space 4}-.1107392{col 81}{space 3} .0333704
{txt}{space 26} {c |}
{space 15}renter#Post {c |}
{space 14}Owner#After  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 4}ownservice#renter#Post {c |}
Service costs#Owner#After  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 20}oplcat {c |}
{space 7}junior high (vmbo)  {c |}{col 28}{res}{space 2}-.0347983{col 40}{space 2} .0323389{col 51}{space 1}   -1.08{col 60}{space 3}0.283{col 68}{space 4} -.098371{col 81}{space 3} .0287743
{txt}{space 12}have/vwo (HS)  {c |}{col 28}{res}{space 2} .0133004{col 40}{space 2} .0272335{col 51}{space 1}    0.49{col 60}{space 3}0.626{col 68}{space 4}-.0402358{col 81}{space 3} .0668366
{txt}{space 9}mbo (vocational)  {c |}{col 28}{res}{space 2} -.007544{col 40}{space 2} .0285273{col 51}{space 1}   -0.26{col 60}{space 3}0.792{col 68}{space 4}-.0636236{col 81}{space 3} .0485356
{txt}{space 2}hbo (higher vocational)  {c |}{col 28}{res}{space 2}   .04995{col 40}{space 2} .0683503{col 51}{space 1}    0.73{col 60}{space 3}0.465{col 68}{space 4}-.0844147{col 81}{space 3} .1843147
{txt}{space 18}college  {c |}{col 28}{res}{space 2} .0496326{col 40}{space 2} .0571278{col 51}{space 1}    0.87{col 60}{space 3}0.385{col 68}{space 4}-.0626706{col 81}{space 3} .1619357
{txt}{space 26} {c |}
{space 21}lninc {c |}{col 28}{res}{space 2}-.0011344{col 40}{space 2} .0060883{col 51}{space 1}   -0.19{col 60}{space 3}0.852{col 68}{space 4} -.013103{col 81}{space 3} .0108342
{txt}{space 26} {c |}
{space 20}employ {c |}
{space 12}Self-employed  {c |}{col 28}{res}{space 2}-.0117881{col 40}{space 2} .0230385{col 51}{space 1}   -0.51{col 60}{space 3}0.609{col 68}{space 4}-.0570777{col 81}{space 3} .0335015
{txt}{space 4}Unemployed/disability  {c |}{col 28}{res}{space 2} .0139645{col 40}{space 2} .0312726{col 51}{space 1}    0.45{col 60}{space 3}0.655{col 68}{space 4} -.047512{col 81}{space 3} .0754409
{txt}{space 18}Student  {c |}{col 28}{res}{space 2}-.0073467{col 40}{space 2} .0247266{col 51}{space 1}   -0.30{col 60}{space 3}0.767{col 68}{space 4}-.0559549{col 81}{space 3} .0412614
{txt}{space 14}Housekeeper  {c |}{col 28}{res}{space 2} .0023263{col 40}{space 2} .0321897{col 51}{space 1}    0.07{col 60}{space 3}0.942{col 68}{space 4} -.060953{col 81}{space 3} .0656057
{txt}{space 16}Pensioner  {c |}{col 28}{res}{space 2}-.0031544{col 40}{space 2}  .029906{col 51}{space 1}   -0.11{col 60}{space 3}0.916{col 68}{space 4}-.0619444{col 81}{space 3} .0556356
{txt}{space 26} {c |}
{space 22}year {c |}
{space 21}2009  {c |}{col 28}{res}{space 2} .0035532{col 40}{space 2} .0266174{col 51}{space 1}    0.13{col 60}{space 3}0.894{col 68}{space 4}-.0487719{col 81}{space 3} .0558782
{txt}{space 21}2010  {c |}{col 28}{res}{space 2}-.0669289{col 40}{space 2} .0338211{col 51}{space 1}   -1.98{col 60}{space 3}0.049{col 68}{space 4}-.1334153{col 81}{space 3}-.0004425
{txt}{space 21}2011  {c |}{col 28}{res}{space 2}-.0802199{col 40}{space 2}  .032049{col 51}{space 1}   -2.50{col 60}{space 3}0.013{col 68}{space 4}-.1432227{col 81}{space 3}-.0172172
{txt}{space 21}2012  {c |}{col 28}{res}{space 2}-.0718567{col 40}{space 2} .0337432{col 51}{space 1}   -2.13{col 60}{space 3}0.034{col 68}{space 4}-.1381898{col 81}{space 3}-.0055235
{txt}{space 21}2013  {c |}{col 28}{res}{space 2}-.0531407{col 40}{space 2} .0328998{col 51}{space 1}   -1.62{col 60}{space 3}0.107{col 68}{space 4}-.1178159{col 81}{space 3} .0115345
{txt}{space 21}2015  {c |}{col 28}{res}{space 2}-.0045913{col 40}{space 2} .0231852{col 51}{space 1}   -0.20{col 60}{space 3}0.843{col 68}{space 4}-.0501693{col 81}{space 3} .0409866
{txt}{space 21}2016  {c |}{col 28}{res}{space 2}-.0023287{col 40}{space 2} .0224563{col 51}{space 1}   -0.10{col 60}{space 3}0.917{col 68}{space 4}-.0464737{col 81}{space 3} .0418164
{txt}{space 21}2017  {c |}{col 28}{res}{space 2} .0237126{col 40}{space 2} .0277685{col 51}{space 1}    0.85{col 60}{space 3}0.394{col 68}{space 4}-.0308754{col 81}{space 3} .0783006
{txt}{space 21}2018  {c |}{col 28}{res}{space 2} .0500695{col 40}{space 2} .0240914{col 51}{space 1}    2.08{col 60}{space 3}0.038{col 68}{space 4} .0027101{col 81}{space 3}  .097429
{txt}{space 21}2019  {c |}{col 28}{res}{space 2}-.0063582{col 40}{space 2}   .02468{col 51}{space 1}   -0.26{col 60}{space 3}0.797{col 68}{space 4}-.0548747{col 81}{space 3} .0421583
{txt}{space 21}2020  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} .1820565{col 40}{space 2} .0536771{col 51}{space 1}    3.39{col 60}{space 3}0.001{col 68}{space 4} .0765367{col 81}{space 3} .2875763
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                   sigma_u {c |} {res} .30037799
                   {txt}sigma_e {c |} {res} .21304563
                       {txt}rho {c |} {res} .66531493{txt}   (fraction of variance due to u_i)
{hline 27}{c BT}{hline 64}

{com}.  
.  *Panel regressions
.  
.                    xtreg  extremeright  ATET ownservice i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,295
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       409

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0192{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0117{col 63}{txt}avg{col 67}={col 69}{res}       5.6
{txt}     Overall = {res}0.0079{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}408{txt}){col 67}={col 70}{res}     1.92
{txt}corr(u_i, Xb) = {res}-0.0085{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0261

{txt}{ralign 78:(Std. err. adjusted for {res:409} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0370542{col 26}{space 2} .0344382{col 37}{space 1}   -1.08{col 46}{space 3}0.283{col 54}{space 4}-.1047526{col 67}{space 3} .0306442
{txt}{space 2}ownservice {c |}{col 14}{res}{space 2}-.0199542{col 26}{space 2} .0358388{col 37}{space 1}   -0.56{col 46}{space 3}0.578{col 54}{space 4}-.0904061{col 67}{space 3} .0504976
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0073629{col 26}{space 2}  .026304{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4}-.0443455{col 67}{space 3} .0590713
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0569492{col 26}{space 2} .0319042{col 37}{space 1}   -1.79{col 46}{space 3}0.075{col 54}{space 4}-.1196663{col 67}{space 3} .0057678
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0692066{col 26}{space 2} .0313969{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-.1309265{col 67}{space 3}-.0074867
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0602483{col 26}{space 2} .0314582{col 37}{space 1}   -1.92{col 46}{space 3}0.056{col 54}{space 4}-.1220887{col 67}{space 3}  .001592
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0408419{col 26}{space 2} .0315301{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.1028236{col 67}{space 3} .0211398
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0179836{col 26}{space 2}  .031556{col 37}{space 1}   -0.57{col 46}{space 3}0.569{col 54}{space 4}-.0800163{col 67}{space 3}  .044049
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0163194{col 26}{space 2} .0353381{col 37}{space 1}   -0.46{col 46}{space 3}0.644{col 54}{space 4}-.0857869{col 67}{space 3}  .053148
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0102505{col 26}{space 2} .0370112{col 37}{space 1}    0.28{col 46}{space 3}0.782{col 54}{space 4}-.0625058{col 67}{space 3} .0830069
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}  .035593{col 26}{space 2} .0360206{col 37}{space 1}    0.99{col 46}{space 3}0.324{col 54}{space 4}-.0352162{col 67}{space 3} .1064022
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0184297{col 26}{space 2} .0354562{col 37}{space 1}   -0.52{col 46}{space 3}0.603{col 54}{space 4}-.0881293{col 67}{space 3} .0512698
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0065258{col 26}{space 2} .0368835{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4}-.0790313{col 67}{space 3} .0659797
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1728796{col 26}{space 2} .0277596{col 37}{space 1}    6.23{col 46}{space 3}0.000{col 54}{space 4} .1183099{col 67}{space 3} .2274492
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .29432618
     {txt}sigma_e {c |} {res} .21209875
         {txt}rho {c |} {res} .65819779{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.                     estimates store M13
{txt}
{com}.   xtreg  PVVsympmean ATET ownservice i.year if include2==1 & includenew==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,220
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       414

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0148{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0085{col 63}{txt}avg{col 67}={col 69}{res}       5.4
{txt}     Overall = {res}0.0063{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}413{txt}){col 67}={col 70}{res}     1.77
{txt}corr(u_i, Xb) = {res}0.0230{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0512

{txt}{ralign 78:(Std. err. adjusted for {res:414} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.4679959{col 26}{space 2} .2821192{col 37}{space 1}   -1.66{col 46}{space 3}0.098{col 54}{space 4}-1.022564{col 67}{space 3} .0865726
{txt}{space 2}ownservice {c |}{col 14}{res}{space 2} .1161151{col 26}{space 2} .4228435{col 37}{space 1}    0.27{col 46}{space 3}0.784{col 54}{space 4}-.7150788{col 67}{space 3} .9473091
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}  .086012{col 26}{space 2} .2234834{col 37}{space 1}    0.38{col 46}{space 3}0.701{col 54}{space 4}-.3532949{col 67}{space 3} .5253188
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .4640447{col 26}{space 2} .2220425{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .0275703{col 67}{space 3} .9005191
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2257373{col 26}{space 2} .2428311{col 37}{space 1}    0.93{col 46}{space 3}0.353{col 54}{space 4}-.2516018{col 67}{space 3} .7030764
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .4790299{col 26}{space 2}  .243924{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4}-.0004574{col 67}{space 3} .9585172
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .5565007{col 26}{space 2} .2782372{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4}  .009563{col 67}{space 3} 1.103438
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3957386{col 26}{space 2} .2834081{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.1613637{col 67}{space 3} .9528408
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .2735694{col 26}{space 2} .2867596{col 37}{space 1}    0.95{col 46}{space 3}0.341{col 54}{space 4} -.290121{col 67}{space 3} .8372597
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .6791957{col 26}{space 2} .2857919{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4} .1174075{col 67}{space 3} 1.240984
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .4714896{col 26}{space 2} .2831222{col 37}{space 1}    1.67{col 46}{space 3}0.097{col 54}{space 4}-.0850507{col 67}{space 3}  1.02803
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .5527971{col 26}{space 2}  .301676{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.0402148{col 67}{space 3} 1.145809
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.378452{col 26}{space 2} .2373828{col 37}{space 1}  -10.02{col 46}{space 3}0.000{col 54}{space 4}-2.845082{col 67}{space 3}-1.911823
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.0821035
     {txt}sigma_e {c |} {res} 1.5779724
         {txt}rho {c |} {res} .79231609{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}.    estimates store M14
{txt}
{com}.        xtreg  extremeright ATET ownservice i.oplcat   lninc i.employ renter  i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,259
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       407

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0202{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0073{col 63}{txt}avg{col 67}={col 69}{res}       5.6
{txt}     Overall = {res}0.0005{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(23,406)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1787{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:407} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0391239{col 38}{space 2} .0353043{col 49}{space 1}   -1.11{col 58}{space 3}0.268{col 66}{space 4} -.108526{col 79}{space 3} .0302782
{txt}{space 14}ownservice {c |}{col 26}{res}{space 2}-.0018639{col 38}{space 2} .0333575{col 49}{space 1}   -0.06{col 58}{space 3}0.955{col 66}{space 4}-.0674388{col 79}{space 3}  .063711
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0347848{col 38}{space 2} .0326621{col 49}{space 1}   -1.06{col 58}{space 3}0.288{col 66}{space 4}-.0989928{col 79}{space 3} .0294231
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0139826{col 38}{space 2} .0272446{col 49}{space 1}    0.51{col 58}{space 3}0.608{col 66}{space 4}-.0395754{col 79}{space 3} .0675407
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0085544{col 38}{space 2} .0284822{col 49}{space 1}   -0.30{col 58}{space 3}0.764{col 66}{space 4}-.0645454{col 79}{space 3} .0474366
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0502153{col 38}{space 2} .0681725{col 49}{space 1}    0.74{col 58}{space 3}0.462{col 66}{space 4}-.0837999{col 79}{space 3} .1842304
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0476989{col 38}{space 2} .0564652{col 49}{space 1}    0.84{col 58}{space 3}0.399{col 66}{space 4}-.0633018{col 79}{space 3} .1586996
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0003673{col 38}{space 2} .0060401{col 49}{space 1}    0.06{col 58}{space 3}0.952{col 66}{space 4}-.0115064{col 79}{space 3} .0122411
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0125419{col 38}{space 2} .0229472{col 49}{space 1}   -0.55{col 58}{space 3}0.585{col 66}{space 4}-.0576522{col 79}{space 3} .0325683
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0096051{col 38}{space 2} .0310428{col 49}{space 1}    0.31{col 58}{space 3}0.757{col 66}{space 4}-.0514196{col 79}{space 3} .0706298
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0171375{col 38}{space 2} .0252449{col 49}{space 1}   -0.68{col 58}{space 3}0.498{col 66}{space 4}-.0667645{col 79}{space 3} .0324896
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0009419{col 38}{space 2} .0322498{col 49}{space 1}   -0.03{col 58}{space 3}0.977{col 66}{space 4}-.0643393{col 79}{space 3} .0624554
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} -.006315{col 38}{space 2} .0302801{col 49}{space 1}   -0.21{col 58}{space 3}0.835{col 66}{space 4}-.0658403{col 79}{space 3} .0532103
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0001191{col 38}{space 2} .0263706{col 49}{space 1}    0.00{col 58}{space 3}0.996{col 66}{space 4}-.0517208{col 79}{space 3}  .051959
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0631617{col 38}{space 2} .0331707{col 49}{space 1}   -1.90{col 58}{space 3}0.058{col 66}{space 4}-.1283694{col 79}{space 3}  .002046
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0793891{col 38}{space 2} .0313596{col 49}{space 1}   -2.53{col 58}{space 3}0.012{col 66}{space 4}-.1410364{col 79}{space 3}-.0177417
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0706197{col 38}{space 2} .0330106{col 49}{space 1}   -2.14{col 58}{space 3}0.033{col 66}{space 4}-.1355127{col 79}{space 3}-.0057267
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0514359{col 38}{space 2}  .032155{col 49}{space 1}   -1.60{col 58}{space 3}0.110{col 66}{space 4} -.114647{col 79}{space 3} .0117752
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0273607{col 38}{space 2} .0335054{col 49}{space 1}   -0.82{col 58}{space 3}0.415{col 66}{space 4}-.0932265{col 79}{space 3}  .038505
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0251165{col 38}{space 2} .0373557{col 49}{space 1}   -0.67{col 58}{space 3}0.502{col 66}{space 4}-.0985512{col 79}{space 3} .0483182
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0016156{col 38}{space 2} .0405632{col 49}{space 1}    0.04{col 58}{space 3}0.968{col 66}{space 4}-.0781246{col 79}{space 3} .0813558
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0271545{col 38}{space 2} .0386512{col 49}{space 1}    0.70{col 58}{space 3}0.483{col 66}{space 4}-.0488269{col 79}{space 3}  .103136
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0273558{col 38}{space 2}  .039617{col 49}{space 1}   -0.69{col 58}{space 3}0.490{col 66}{space 4}-.1052358{col 79}{space 3} .0505242
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0148897{col 38}{space 2} .0401752{col 49}{space 1}   -0.37{col 58}{space 3}0.711{col 66}{space 4}-.0938671{col 79}{space 3} .0640877
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1741727{col 38}{space 2}  .053172{col 49}{space 1}    3.28{col 58}{space 3}0.001{col 66}{space 4} .0696458{col 79}{space 3} .2786996
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .29985965
                 {txt}sigma_e {c |} {res} .21351727
                     {txt}rho {c |} {res} .66355868{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.             estimates store M15
{txt}
{com}.   xtreg  PVVsympmean ATET ownservice i.oplcat lninc i.employ renter  i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,188
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       413

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0234{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0168{col 63}{txt}avg{col 67}={col 69}{res}       5.3
{txt}     Overall = {res}0.0126{col 63}{txt}max{col 67}={col 69}{res}        11

{col 49}{help j_robustsingular##|_new:F(22,412)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1765{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:413} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.4867754{col 38}{space 2} .2878586{col 49}{space 1}   -1.69{col 58}{space 3}0.092{col 66}{space 4} -1.05263{col 79}{space 3} .0790794
{txt}{space 14}ownservice {c |}{col 26}{res}{space 2}-.0175009{col 38}{space 2} .4519648{col 49}{space 1}   -0.04{col 58}{space 3}0.969{col 66}{space 4}-.9059456{col 79}{space 3} .8709439
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1685797{col 38}{space 2} .4193008{col 49}{space 1}   -0.40{col 58}{space 3}0.688{col 66}{space 4}-.9928154{col 79}{space 3}  .655656
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0788135{col 38}{space 2}  .445379{col 49}{space 1}    0.18{col 58}{space 3}0.860{col 66}{space 4}-.7966852{col 79}{space 3} .9543121
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0833464{col 38}{space 2} .4703378{col 49}{space 1}   -0.18{col 58}{space 3}0.859{col 66}{space 4}-1.007908{col 79}{space 3} .8412149
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}  .029092{col 38}{space 2} .5886045{col 49}{space 1}    0.05{col 58}{space 3}0.961{col 66}{space 4}-1.127951{col 79}{space 3} 1.186135
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-3.238608{col 38}{space 2} 1.735228{col 49}{space 1}   -1.87{col 58}{space 3}0.063{col 66}{space 4}-6.649612{col 79}{space 3}  .172396
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0500788{col 38}{space 2} .0952854{col 49}{space 1}   -0.53{col 58}{space 3}0.599{col 66}{space 4}-.2373851{col 79}{space 3} .1372274
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .6238327{col 38}{space 2} .3560705{col 49}{space 1}    1.75{col 58}{space 3}0.081{col 66}{space 4}-.0761088{col 79}{space 3} 1.323774
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .2539624{col 38}{space 2} .3195039{col 49}{space 1}    0.79{col 58}{space 3}0.427{col 66}{space 4}-.3740988{col 79}{space 3} .8820235
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .4378178{col 38}{space 2} .2261968{col 49}{space 1}    1.94{col 58}{space 3}0.054{col 66}{space 4} -.006826{col 79}{space 3} .8824616
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .4287402{col 38}{space 2} .3524081{col 49}{space 1}    1.22{col 58}{space 3}0.224{col 66}{space 4} -.264002{col 79}{space 3} 1.121482
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .4435922{col 38}{space 2} .3625614{col 49}{space 1}    1.22{col 58}{space 3}0.222{col 66}{space 4}-.2691087{col 79}{space 3} 1.156293
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1247159{col 38}{space 2} .2229693{col 49}{space 1}    0.56{col 58}{space 3}0.576{col 66}{space 4}-.3135835{col 79}{space 3} .5630153
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5057396{col 38}{space 2} .2189783{col 49}{space 1}    2.31{col 58}{space 3}0.021{col 66}{space 4} .0752856{col 79}{space 3} .9361937
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2517696{col 38}{space 2} .2399129{col 49}{space 1}    1.05{col 58}{space 3}0.295{col 66}{space 4}-.2198366{col 79}{space 3} .7233757
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .4864286{col 38}{space 2} .2440641{col 49}{space 1}    1.99{col 58}{space 3}0.047{col 66}{space 4} .0066623{col 79}{space 3} .9661948
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .5492312{col 38}{space 2} .2772036{col 49}{space 1}    1.98{col 58}{space 3}0.048{col 66}{space 4} .0043214{col 79}{space 3} 1.094141
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3768781{col 38}{space 2} .2846501{col 49}{space 1}    1.32{col 58}{space 3}0.186{col 66}{space 4}-.1826695{col 79}{space 3} .9364257
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .2807603{col 38}{space 2} .2817741{col 49}{space 1}    1.00{col 58}{space 3}0.320{col 66}{space 4}-.2731339{col 79}{space 3} .8346546
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .6770808{col 38}{space 2} .2856729{col 49}{space 1}    2.37{col 58}{space 3}0.018{col 66}{space 4} .1155226{col 79}{space 3} 1.238639
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .4704681{col 38}{space 2} .2791392{col 49}{space 1}    1.69{col 58}{space 3}0.093{col 66}{space 4}-.0782467{col 79}{space 3} 1.019183
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .5566793{col 38}{space 2} .3022338{col 49}{space 1}    1.84{col 58}{space 3}0.066{col 66}{space 4}-.0374334{col 79}{space 3} 1.150792
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.904078{col 38}{space 2} .8938866{col 49}{space 1}   -2.13{col 58}{space 3}0.034{col 66}{space 4}-3.661225{col 79}{space 3}-.1469301
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.1198098
                 {txt}sigma_e {c |} {res}  1.583741
                     {txt}rho {c |} {res} .79510304{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}

{com}.    estimates store M16
{txt}
{com}. 
. 
.      coefplot M9 M11 M13 M15 , drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year )  xline(0) yline(0) title("Voting Intention for the Far Right") name(g3)
{res}{txt}
{com}.     coefplot M10 M12 M14 M16 , drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year )  xline(0) yline(0) title("Difference Sympathy for PVV and Mainstream Parties") name(g4)
{res}{txt}
{com}.   
.   grc1leg g3 g4, legendfrom(g3) 
{res}{txt}
{com}. graph export regressionsownservice.png, replace 
{txt}{p 0 4 2}
file {bf}
regressionsownservice.png{rm}
saved as
PNG
format
{p_end}

{com}. 
. 
. 
. 
.   *Using estout package for LatexTables           
. est clear
{res}{txt}
{com}.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET  i.year if include==1 & includenew==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     2295
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      409

{txt}R-sq:  Within  = {res}0.0190                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0127                                        {txt}avg = {res}      5.6
{txt}       Overall = {res}0.0093                                        {txt}max = {res}       12

                                                {txt}F({res}12{txt},{res}408{txt})          = {res}     2.02
{txt}corr(u_i, Xb)  = {res}0.0109                         {txt}Prob > F           =    {res}0.0215

{txt}{ralign 78:(Std. err. adjusted for {res:409} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0415025{col 26}{space 2} .0326837{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.1057519{col 67}{space 3} .0227469
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0076931{col 26}{space 2} .0263799{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4}-.0441644{col 67}{space 3} .0595506
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0569133{col 26}{space 2} .0319456{col 37}{space 1}   -1.78{col 46}{space 3}0.076{col 54}{space 4}-.1197118{col 67}{space 3} .0058852
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0691792{col 26}{space 2} .0314896{col 37}{space 1}   -2.20{col 46}{space 3}0.029{col 54}{space 4}-.1310813{col 67}{space 3}-.0072772
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} -.060327{col 26}{space 2} .0315029{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-.1222553{col 67}{space 3} .0016013
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0410897{col 26}{space 2} .0315744{col 37}{space 1}   -1.30{col 46}{space 3}0.194{col 54}{space 4}-.1031585{col 67}{space 3} .0209791
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0168505{col 26}{space 2} .0315875{col 37}{space 1}   -0.53{col 46}{space 3}0.594{col 54}{space 4}-.0789451{col 67}{space 3} .0452442
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0151751{col 26}{space 2} .0353861{col 37}{space 1}   -0.43{col 46}{space 3}0.668{col 54}{space 4}-.0847369{col 67}{space 3} .0543868
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0111345{col 26}{space 2} .0370812{col 37}{space 1}    0.30{col 46}{space 3}0.764{col 54}{space 4}-.0617596{col 67}{space 3} .0840285
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0364838{col 26}{space 2} .0361926{col 37}{space 1}    1.01{col 46}{space 3}0.314{col 54}{space 4}-.0346634{col 67}{space 3} .1076309
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0174928{col 26}{space 2} .0354886{col 37}{space 1}   -0.49{col 46}{space 3}0.622{col 54}{space 4}-.0872563{col 67}{space 3} .0522706
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0057263{col 26}{space 2} .0372707{col 37}{space 1}   -0.15{col 46}{space 3}0.878{col 54}{space 4}-.0789929{col 67}{space 3} .0675402
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  .167887{col 26}{space 2} .0274135{col 37}{space 1}    6.12{col 46}{space 3}0.000{col 54}{space 4} .1139977{col 67}{space 3} .2217762
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .29441319
     {txt}sigma_e {c |} {res} .21205761
         {txt}rho {c |} {res} .65841805{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  extremeright ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster nomem_encr)
{txt}note: renter omitted because of collinearity

Fixed-effects (within) regression               Number of obs      = {res}     2259
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      407

{txt}R-sq:  Within  = {res}0.0202                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0075                                        {txt}avg = {res}      5.6
{txt}       Overall = {res}0.0005                                        {txt}max = {res}       12

{col 49}{help j_robustsingular##|_new:F(22,406)}{col 68}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb)  = {res}-0.1784                        {txt}Prob > F           =    {res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:407} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0395239{col 38}{space 2} .0340073{col 49}{space 1}   -1.16{col 58}{space 3}0.246{col 66}{space 4}-.1063763{col 79}{space 3} .0273285
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0347164{col 38}{space 2} .0325945{col 49}{space 1}   -1.07{col 58}{space 3}0.287{col 66}{space 4}-.0987913{col 79}{space 3} .0293586
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0139969{col 38}{space 2} .0272242{col 49}{space 1}    0.51{col 58}{space 3}0.607{col 66}{space 4}-.0395212{col 79}{space 3} .0675149
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0086347{col 38}{space 2} .0284099{col 49}{space 1}   -0.30{col 58}{space 3}0.761{col 66}{space 4}-.0644835{col 79}{space 3} .0472142
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0502199{col 38}{space 2} .0681879{col 49}{space 1}    0.74{col 58}{space 3}0.462{col 66}{space 4}-.0838255{col 79}{space 3} .1842653
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0476751{col 38}{space 2} .0564483{col 49}{space 1}    0.84{col 58}{space 3}0.399{col 66}{space 4}-.0632923{col 79}{space 3} .1586425
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0003768{col 38}{space 2} .0060476{col 49}{space 1}    0.06{col 58}{space 3}0.950{col 66}{space 4}-.0115116{col 79}{space 3} .0122653
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} -.012643{col 38}{space 2} .0226733{col 49}{space 1}   -0.56{col 58}{space 3}0.577{col 66}{space 4}-.0572147{col 79}{space 3} .0319287
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}  .009513{col 38}{space 2} .0308714{col 49}{space 1}    0.31{col 58}{space 3}0.758{col 66}{space 4}-.0511747{col 79}{space 3} .0702008
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0172227{col 38}{space 2}   .02543{col 49}{space 1}   -0.68{col 58}{space 3}0.499{col 66}{space 4}-.0672136{col 79}{space 3} .0327681
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0010368{col 38}{space 2} .0320418{col 49}{space 1}   -0.03{col 58}{space 3}0.974{col 66}{space 4}-.0640253{col 79}{space 3} .0619517
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0064949{col 38}{space 2} .0297181{col 49}{space 1}   -0.22{col 58}{space 3}0.827{col 66}{space 4}-.0649155{col 79}{space 3} .0519257
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0001344{col 38}{space 2} .0263461{col 49}{space 1}    0.01{col 58}{space 3}0.996{col 66}{space 4}-.0516573{col 79}{space 3} .0519262
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} -.063171{col 38}{space 2}  .033157{col 49}{space 1}   -1.91{col 58}{space 3}0.057{col 66}{space 4} -.128352{col 79}{space 3} .0020099
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0793956{col 38}{space 2} .0313519{col 49}{space 1}   -2.53{col 58}{space 3}0.012{col 66}{space 4}-.1410278{col 79}{space 3}-.0177633
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0706285{col 38}{space 2}  .033009{col 49}{space 1}   -2.14{col 58}{space 3}0.033{col 66}{space 4}-.1355184{col 79}{space 3}-.0057387
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} -.051456{col 38}{space 2} .0321806{col 49}{space 1}   -1.60{col 58}{space 3}0.111{col 66}{space 4}-.1147174{col 79}{space 3} .0118055
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} -.027244{col 38}{space 2} .0331568{col 49}{space 1}   -0.82{col 58}{space 3}0.412{col 66}{space 4}-.0924244{col 79}{space 3} .0379364
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0249952{col 38}{space 2} .0369287{col 49}{space 1}   -0.68{col 58}{space 3}0.499{col 66}{space 4}-.0975906{col 79}{space 3} .0476002
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0017148{col 38}{space 2}   .04046{col 49}{space 1}    0.04{col 58}{space 3}0.966{col 66}{space 4}-.0778225{col 79}{space 3} .0812521
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0272569{col 38}{space 2} .0384844{col 49}{space 1}    0.71{col 58}{space 3}0.479{col 66}{space 4}-.0483967{col 79}{space 3} .1029105
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0272486{col 38}{space 2} .0393979{col 49}{space 1}   -0.69{col 58}{space 3}0.490{col 66}{space 4} -.104698{col 79}{space 3} .0502007
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0147931{col 38}{space 2} .0402548{col 49}{space 1}   -0.37{col 58}{space 3}0.713{col 66}{space 4}-.0939269{col 79}{space 3} .0643407
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1737146{col 38}{space 2} .0531675{col 49}{space 1}    3.27{col 58}{space 3}0.001{col 66}{space 4} .0691967{col 79}{space 3} .2782325
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .29987409
                 {txt}sigma_e {c |} {res} .21345903
                     {txt}rho {c |} {res}   .663702{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET ownservice i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,295
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       409

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0192{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0117{col 63}{txt}avg{col 67}={col 69}{res}       5.6
{txt}     Overall = {res}0.0079{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}408{txt}){col 67}={col 70}{res}     1.92
{txt}corr(u_i, Xb) = {res}-0.0085{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0261

{txt}{ralign 78:(Std. err. adjusted for {res:409} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0370542{col 26}{space 2} .0344382{col 37}{space 1}   -1.08{col 46}{space 3}0.283{col 54}{space 4}-.1047526{col 67}{space 3} .0306442
{txt}{space 2}ownservice {c |}{col 14}{res}{space 2}-.0199542{col 26}{space 2} .0358388{col 37}{space 1}   -0.56{col 46}{space 3}0.578{col 54}{space 4}-.0904061{col 67}{space 3} .0504976
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0073629{col 26}{space 2}  .026304{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4}-.0443455{col 67}{space 3} .0590713
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0569492{col 26}{space 2} .0319042{col 37}{space 1}   -1.79{col 46}{space 3}0.075{col 54}{space 4}-.1196663{col 67}{space 3} .0057678
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0692066{col 26}{space 2} .0313969{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-.1309265{col 67}{space 3}-.0074867
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0602483{col 26}{space 2} .0314582{col 37}{space 1}   -1.92{col 46}{space 3}0.056{col 54}{space 4}-.1220887{col 67}{space 3}  .001592
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0408419{col 26}{space 2} .0315301{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.1028236{col 67}{space 3} .0211398
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0179836{col 26}{space 2}  .031556{col 37}{space 1}   -0.57{col 46}{space 3}0.569{col 54}{space 4}-.0800163{col 67}{space 3}  .044049
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0163194{col 26}{space 2} .0353381{col 37}{space 1}   -0.46{col 46}{space 3}0.644{col 54}{space 4}-.0857869{col 67}{space 3}  .053148
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .0102505{col 26}{space 2} .0370112{col 37}{space 1}    0.28{col 46}{space 3}0.782{col 54}{space 4}-.0625058{col 67}{space 3} .0830069
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}  .035593{col 26}{space 2} .0360206{col 37}{space 1}    0.99{col 46}{space 3}0.324{col 54}{space 4}-.0352162{col 67}{space 3} .1064022
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0184297{col 26}{space 2} .0354562{col 37}{space 1}   -0.52{col 46}{space 3}0.603{col 54}{space 4}-.0881293{col 67}{space 3} .0512698
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0065258{col 26}{space 2} .0368835{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4}-.0790313{col 67}{space 3} .0659797
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1728796{col 26}{space 2} .0277596{col 37}{space 1}    6.23{col 46}{space 3}0.000{col 54}{space 4} .1183099{col 67}{space 3} .2274492
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .29432618
     {txt}sigma_e {c |} {res} .21209875
         {txt}rho {c |} {res} .65819779{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  extremeright ATET ownservice i.oplcat   lninc i.employ renter i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,259
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       407

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0202{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0073{col 63}{txt}avg{col 67}={col 69}{res}       5.6
{txt}     Overall = {res}0.0005{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(23,406)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1787{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:407} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0391239{col 38}{space 2} .0353043{col 49}{space 1}   -1.11{col 58}{space 3}0.268{col 66}{space 4} -.108526{col 79}{space 3} .0302782
{txt}{space 14}ownservice {c |}{col 26}{res}{space 2}-.0018639{col 38}{space 2} .0333575{col 49}{space 1}   -0.06{col 58}{space 3}0.955{col 66}{space 4}-.0674388{col 79}{space 3}  .063711
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0347848{col 38}{space 2} .0326621{col 49}{space 1}   -1.06{col 58}{space 3}0.288{col 66}{space 4}-.0989928{col 79}{space 3} .0294231
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0139826{col 38}{space 2} .0272446{col 49}{space 1}    0.51{col 58}{space 3}0.608{col 66}{space 4}-.0395754{col 79}{space 3} .0675407
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0085544{col 38}{space 2} .0284822{col 49}{space 1}   -0.30{col 58}{space 3}0.764{col 66}{space 4}-.0645454{col 79}{space 3} .0474366
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0502153{col 38}{space 2} .0681725{col 49}{space 1}    0.74{col 58}{space 3}0.462{col 66}{space 4}-.0837999{col 79}{space 3} .1842304
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0476989{col 38}{space 2} .0564652{col 49}{space 1}    0.84{col 58}{space 3}0.399{col 66}{space 4}-.0633018{col 79}{space 3} .1586996
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0003673{col 38}{space 2} .0060401{col 49}{space 1}    0.06{col 58}{space 3}0.952{col 66}{space 4}-.0115064{col 79}{space 3} .0122411
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0125419{col 38}{space 2} .0229472{col 49}{space 1}   -0.55{col 58}{space 3}0.585{col 66}{space 4}-.0576522{col 79}{space 3} .0325683
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0096051{col 38}{space 2} .0310428{col 49}{space 1}    0.31{col 58}{space 3}0.757{col 66}{space 4}-.0514196{col 79}{space 3} .0706298
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0171375{col 38}{space 2} .0252449{col 49}{space 1}   -0.68{col 58}{space 3}0.498{col 66}{space 4}-.0667645{col 79}{space 3} .0324896
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0009419{col 38}{space 2} .0322498{col 49}{space 1}   -0.03{col 58}{space 3}0.977{col 66}{space 4}-.0643393{col 79}{space 3} .0624554
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} -.006315{col 38}{space 2} .0302801{col 49}{space 1}   -0.21{col 58}{space 3}0.835{col 66}{space 4}-.0658403{col 79}{space 3} .0532103
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0001191{col 38}{space 2} .0263706{col 49}{space 1}    0.00{col 58}{space 3}0.996{col 66}{space 4}-.0517208{col 79}{space 3}  .051959
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0631617{col 38}{space 2} .0331707{col 49}{space 1}   -1.90{col 58}{space 3}0.058{col 66}{space 4}-.1283694{col 79}{space 3}  .002046
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0793891{col 38}{space 2} .0313596{col 49}{space 1}   -2.53{col 58}{space 3}0.012{col 66}{space 4}-.1410364{col 79}{space 3}-.0177417
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0706197{col 38}{space 2} .0330106{col 49}{space 1}   -2.14{col 58}{space 3}0.033{col 66}{space 4}-.1355127{col 79}{space 3}-.0057267
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0514359{col 38}{space 2}  .032155{col 49}{space 1}   -1.60{col 58}{space 3}0.110{col 66}{space 4} -.114647{col 79}{space 3} .0117752
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0273607{col 38}{space 2} .0335054{col 49}{space 1}   -0.82{col 58}{space 3}0.415{col 66}{space 4}-.0932265{col 79}{space 3}  .038505
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0251165{col 38}{space 2} .0373557{col 49}{space 1}   -0.67{col 58}{space 3}0.502{col 66}{space 4}-.0985512{col 79}{space 3} .0483182
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0016156{col 38}{space 2} .0405632{col 49}{space 1}    0.04{col 58}{space 3}0.968{col 66}{space 4}-.0781246{col 79}{space 3} .0813558
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0271545{col 38}{space 2} .0386512{col 49}{space 1}    0.70{col 58}{space 3}0.483{col 66}{space 4}-.0488269{col 79}{space 3}  .103136
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0273558{col 38}{space 2}  .039617{col 49}{space 1}   -0.69{col 58}{space 3}0.490{col 66}{space 4}-.1052358{col 79}{space 3} .0505242
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0148897{col 38}{space 2} .0401752{col 49}{space 1}   -0.37{col 58}{space 3}0.711{col 66}{space 4}-.0938671{col 79}{space 3} .0640877
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1741727{col 38}{space 2}  .053172{col 49}{space 1}    3.28{col 58}{space 3}0.001{col 66}{space 4} .0696458{col 79}{space 3} .2786996
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .29985965
                 {txt}sigma_e {c |} {res} .21351727
                     {txt}rho {c |} {res} .66355868{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET  i.year if include==1 & includenew==1, fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     2220
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      414

{txt}R-sq:  Within  = {res}0.0147                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0103                                        {txt}avg = {res}      5.4
{txt}       Overall = {res}0.0076                                        {txt}max = {res}       11

                                                {txt}F({res}11{txt},{res}413{txt})          = {res}     1.93
{txt}corr(u_i, Xb)  = {res}0.0269                         {txt}Prob > F           =    {res}0.0344

{txt}{ralign 78:(Std. err. adjusted for {res:414} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.4429398{col 26}{space 2} .2619908{col 37}{space 1}   -1.69{col 46}{space 3}0.092{col 54}{space 4}-.9579415{col 67}{space 3} .0720619
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .0834405{col 26}{space 2} .2230581{col 37}{space 1}    0.37{col 46}{space 3}0.709{col 54}{space 4}-.3550302{col 67}{space 3} .5219112
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .4635052{col 26}{space 2} .2223614{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4}  .026404{col 67}{space 3} .9006064
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2253521{col 26}{space 2} .2431314{col 37}{space 1}    0.93{col 46}{space 3}0.355{col 54}{space 4}-.2525773{col 67}{space 3} .7032815
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .4796556{col 26}{space 2}  .244384{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4} -.000736{col 67}{space 3} .9600472
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .5500476{col 26}{space 2} .2761284{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0072552{col 67}{space 3}  1.09284
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3887685{col 26}{space 2} .2820001{col 37}{space 1}    1.38{col 46}{space 3}0.169{col 54}{space 4} -.165566{col 67}{space 3} .9431029
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .2681546{col 26}{space 2} .2867521{col 37}{space 1}    0.94{col 46}{space 3}0.350{col 54}{space 4} -.295521{col 67}{space 3} .8318302
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .6740806{col 26}{space 2} .2853881{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .1130862{col 67}{space 3} 1.235075
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .4662704{col 26}{space 2} .2838302{col 37}{space 1}    1.64{col 46}{space 3}0.101{col 54}{space 4}-.0916616{col 67}{space 3} 1.024202
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .5478287{col 26}{space 2}  .302802{col 37}{space 1}    1.81{col 46}{space 3}0.071{col 54}{space 4}-.0473966{col 67}{space 3} 1.143054
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.349523{col 26}{space 2}  .213321{col 37}{space 1}  -11.01{col 46}{space 3}0.000{col 54}{space 4}-2.768853{col 67}{space 3}-1.930193
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.0799501
     {txt}sigma_e {c |} {res} 1.5775958
         {txt}rho {c |} {res} .79216458{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  PVVsympmean ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster nomem_encr)
{txt}note: renter omitted because of collinearity

Fixed-effects (within) regression               Number of obs      = {res}     2188
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}      413

{txt}R-sq:  Within  = {res}0.0234                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0167                                        {txt}avg = {res}      5.3
{txt}       Overall = {res}0.0125                                        {txt}max = {res}       11

{col 49}{help j_robustsingular##|_new:F(21,412)}{col 68}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb)  = {res}-0.1767                        {txt}Prob > F           =    {res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:413} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.4904646{col 38}{space 2} .2671867{col 49}{space 1}   -1.84{col 58}{space 3}0.067{col 66}{space 4}-1.015684{col 79}{space 3} .0347546
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1680188{col 38}{space 2} .4188455{col 49}{space 1}   -0.40{col 58}{space 3}0.689{col 66}{space 4}-.9913594{col 79}{space 3} .6553219
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0795401{col 38}{space 2} .4449643{col 49}{space 1}    0.18{col 58}{space 3}0.858{col 66}{space 4}-.7951433{col 79}{space 3} .9542235
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0837658{col 38}{space 2} .4699994{col 49}{space 1}   -0.18{col 58}{space 3}0.859{col 66}{space 4}-1.007662{col 79}{space 3} .8401301
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0296642{col 38}{space 2} .5888458{col 49}{space 1}    0.05{col 58}{space 3}0.960{col 66}{space 4}-1.127853{col 79}{space 3} 1.187181
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-3.238698{col 38}{space 2} 1.735006{col 49}{space 1}   -1.87{col 58}{space 3}0.063{col 66}{space 4}-6.649266{col 79}{space 3} .1718707
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0500334{col 38}{space 2} .0953544{col 49}{space 1}   -0.52{col 58}{space 3}0.600{col 66}{space 4}-.2374752{col 79}{space 3} .1374084
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .6230965{col 38}{space 2} .3520655{col 49}{space 1}    1.77{col 58}{space 3}0.077{col 66}{space 4}-.0689721{col 79}{space 3} 1.315165
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .2532407{col 38}{space 2} .3161645{col 49}{space 1}    0.80{col 58}{space 3}0.424{col 66}{space 4} -.368256{col 79}{space 3} .8747374
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .4370552{col 38}{space 2} .2256965{col 49}{space 1}    1.94{col 58}{space 3}0.053{col 66}{space 4}-.0066052{col 79}{space 3} .8807155
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .4278313{col 38}{space 2} .3481957{col 49}{space 1}    1.23{col 58}{space 3}0.220{col 66}{space 4}-.2566304{col 79}{space 3} 1.112293
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}  .442225{col 38}{space 2} .3545958{col 49}{space 1}    1.25{col 58}{space 3}0.213{col 66}{space 4}-.2548177{col 79}{space 3} 1.139268
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1249959{col 38}{space 2} .2223859{col 49}{space 1}    0.56{col 58}{space 3}0.574{col 66}{space 4}-.3121566{col 79}{space 3} .5621484
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5057412{col 38}{space 2} .2188782{col 49}{space 1}    2.31{col 58}{space 3}0.021{col 66}{space 4} .0754838{col 79}{space 3} .9359986
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2518454{col 38}{space 2} .2397309{col 49}{space 1}    1.05{col 58}{space 3}0.294{col 66}{space 4}-.2194028{col 79}{space 3} .7230937
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .4863906{col 38}{space 2} .2439645{col 49}{space 1}    1.99{col 58}{space 3}0.047{col 66}{space 4} .0068203{col 79}{space 3}  .965961
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .5503213{col 38}{space 2} .2736233{col 49}{space 1}    2.01{col 58}{space 3}0.045{col 66}{space 4} .0124494{col 79}{space 3} 1.088193
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3780736{col 38}{space 2} .2815785{col 49}{space 1}    1.34{col 58}{space 3}0.180{col 66}{space 4}-.1754361{col 79}{space 3} .9315834
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .2817314{col 38}{space 2} .2809871{col 49}{space 1}    1.00{col 58}{space 3}0.317{col 66}{space 4}-.2706157{col 79}{space 3} .8340785
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}  .678023{col 38}{space 2} .2837447{col 49}{space 1}    2.39{col 58}{space 3}0.017{col 66}{space 4}  .120255{col 79}{space 3} 1.235791
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .4714351{col 38}{space 2} .2789317{col 49}{space 1}    1.69{col 58}{space 3}0.092{col 66}{space 4}-.0768717{col 79}{space 3} 1.019742
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .5576362{col 38}{space 2}   .30263{col 49}{space 1}    1.84{col 58}{space 3}0.066{col 66}{space 4}-.0372553{col 79}{space 3} 1.152528
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.908413{col 38}{space 2} .8986052{col 49}{space 1}   -2.12{col 58}{space 3}0.034{col 66}{space 4}-3.674836{col 79}{space 3}-.1419902
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.1201462
                 {txt}sigma_e {c |} {res} 1.5832906
                     {txt}rho {c |} {res} .79523082{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET ownservice i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,220
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       414

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0148{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0085{col 63}{txt}avg{col 67}={col 69}{res}       5.4
{txt}     Overall = {res}0.0063{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}413{txt}){col 67}={col 70}{res}     1.77
{txt}corr(u_i, Xb) = {res}0.0230{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0512

{txt}{ralign 78:(Std. err. adjusted for {res:414} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.4679959{col 26}{space 2} .2821192{col 37}{space 1}   -1.66{col 46}{space 3}0.098{col 54}{space 4}-1.022564{col 67}{space 3} .0865726
{txt}{space 2}ownservice {c |}{col 14}{res}{space 2} .1161151{col 26}{space 2} .4228435{col 37}{space 1}    0.27{col 46}{space 3}0.784{col 54}{space 4}-.7150788{col 67}{space 3} .9473091
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}  .086012{col 26}{space 2} .2234834{col 37}{space 1}    0.38{col 46}{space 3}0.701{col 54}{space 4}-.3532949{col 67}{space 3} .5253188
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .4640447{col 26}{space 2} .2220425{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .0275703{col 67}{space 3} .9005191
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .2257373{col 26}{space 2} .2428311{col 37}{space 1}    0.93{col 46}{space 3}0.353{col 54}{space 4}-.2516018{col 67}{space 3} .7030764
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .4790299{col 26}{space 2}  .243924{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4}-.0004574{col 67}{space 3} .9585172
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .5565007{col 26}{space 2} .2782372{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4}  .009563{col 67}{space 3} 1.103438
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3957386{col 26}{space 2} .2834081{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.1613637{col 67}{space 3} .9528408
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .2735694{col 26}{space 2} .2867596{col 37}{space 1}    0.95{col 46}{space 3}0.341{col 54}{space 4} -.290121{col 67}{space 3} .8372597
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .6791957{col 26}{space 2} .2857919{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4} .1174075{col 67}{space 3} 1.240984
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .4714896{col 26}{space 2} .2831222{col 37}{space 1}    1.67{col 46}{space 3}0.097{col 54}{space 4}-.0850507{col 67}{space 3}  1.02803
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .5527971{col 26}{space 2}  .301676{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.0402148{col 67}{space 3} 1.145809
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.378452{col 26}{space 2} .2373828{col 37}{space 1}  -10.02{col 46}{space 3}0.000{col 54}{space 4}-2.845082{col 67}{space 3}-1.911823
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.0821035
     {txt}sigma_e {c |} {res} 1.5779724
         {txt}rho {c |} {res} .79231609{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  PVVsympmean ATET ownservice i.oplcat   lninc i.employ renter i.year if include2==1 & includenew==1, fe vce(cluster nomem_encr)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,188
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}       413

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0234{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0168{col 63}{txt}avg{col 67}={col 69}{res}       5.3
{txt}     Overall = {res}0.0126{col 63}{txt}max{col 67}={col 69}{res}        11

{col 49}{help j_robustsingular##|_new:F(22,412)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1765{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:413} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.4867754{col 38}{space 2} .2878586{col 49}{space 1}   -1.69{col 58}{space 3}0.092{col 66}{space 4} -1.05263{col 79}{space 3} .0790794
{txt}{space 14}ownservice {c |}{col 26}{res}{space 2}-.0175009{col 38}{space 2} .4519648{col 49}{space 1}   -0.04{col 58}{space 3}0.969{col 66}{space 4}-.9059456{col 79}{space 3} .8709439
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1685797{col 38}{space 2} .4193008{col 49}{space 1}   -0.40{col 58}{space 3}0.688{col 66}{space 4}-.9928154{col 79}{space 3}  .655656
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0788135{col 38}{space 2}  .445379{col 49}{space 1}    0.18{col 58}{space 3}0.860{col 66}{space 4}-.7966852{col 79}{space 3} .9543121
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0833464{col 38}{space 2} .4703378{col 49}{space 1}   -0.18{col 58}{space 3}0.859{col 66}{space 4}-1.007908{col 79}{space 3} .8412149
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}  .029092{col 38}{space 2} .5886045{col 49}{space 1}    0.05{col 58}{space 3}0.961{col 66}{space 4}-1.127951{col 79}{space 3} 1.186135
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-3.238608{col 38}{space 2} 1.735228{col 49}{space 1}   -1.87{col 58}{space 3}0.063{col 66}{space 4}-6.649612{col 79}{space 3}  .172396
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0500788{col 38}{space 2} .0952854{col 49}{space 1}   -0.53{col 58}{space 3}0.599{col 66}{space 4}-.2373851{col 79}{space 3} .1372274
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .6238327{col 38}{space 2} .3560705{col 49}{space 1}    1.75{col 58}{space 3}0.081{col 66}{space 4}-.0761088{col 79}{space 3} 1.323774
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .2539624{col 38}{space 2} .3195039{col 49}{space 1}    0.79{col 58}{space 3}0.427{col 66}{space 4}-.3740988{col 79}{space 3} .8820235
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .4378178{col 38}{space 2} .2261968{col 49}{space 1}    1.94{col 58}{space 3}0.054{col 66}{space 4} -.006826{col 79}{space 3} .8824616
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .4287402{col 38}{space 2} .3524081{col 49}{space 1}    1.22{col 58}{space 3}0.224{col 66}{space 4} -.264002{col 79}{space 3} 1.121482
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .4435922{col 38}{space 2} .3625614{col 49}{space 1}    1.22{col 58}{space 3}0.222{col 66}{space 4}-.2691087{col 79}{space 3} 1.156293
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1247159{col 38}{space 2} .2229693{col 49}{space 1}    0.56{col 58}{space 3}0.576{col 66}{space 4}-.3135835{col 79}{space 3} .5630153
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5057396{col 38}{space 2} .2189783{col 49}{space 1}    2.31{col 58}{space 3}0.021{col 66}{space 4} .0752856{col 79}{space 3} .9361937
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2517696{col 38}{space 2} .2399129{col 49}{space 1}    1.05{col 58}{space 3}0.295{col 66}{space 4}-.2198366{col 79}{space 3} .7233757
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .4864286{col 38}{space 2} .2440641{col 49}{space 1}    1.99{col 58}{space 3}0.047{col 66}{space 4} .0066623{col 79}{space 3} .9661948
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .5492312{col 38}{space 2} .2772036{col 49}{space 1}    1.98{col 58}{space 3}0.048{col 66}{space 4} .0043214{col 79}{space 3} 1.094141
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3768781{col 38}{space 2} .2846501{col 49}{space 1}    1.32{col 58}{space 3}0.186{col 66}{space 4}-.1826695{col 79}{space 3} .9364257
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .2807603{col 38}{space 2} .2817741{col 49}{space 1}    1.00{col 58}{space 3}0.320{col 66}{space 4}-.2731339{col 79}{space 3} .8346546
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .6770808{col 38}{space 2} .2856729{col 49}{space 1}    2.37{col 58}{space 3}0.018{col 66}{space 4} .1155226{col 79}{space 3} 1.238639
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .4704681{col 38}{space 2} .2791392{col 49}{space 1}    1.69{col 58}{space 3}0.093{col 66}{space 4}-.0782467{col 79}{space 3} 1.019183
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .5566793{col 38}{space 2} .3022338{col 49}{space 1}    1.84{col 58}{space 3}0.066{col 66}{space 4}-.0374334{col 79}{space 3} 1.150792
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.904078{col 38}{space 2} .8938866{col 49}{space 1}   -2.13{col 58}{space 3}0.034{col 66}{space 4}-3.661225{col 79}{space 3}-.1469301
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 3.1198098
                 {txt}sigma_e {c |} {res}  1.583741
                     {txt}rho {c |} {res} .79510304{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
.   
. esttab using "regression3b.tex", replace f   ///
>  b(2) se(2) ///
>  keep(ATET) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>    label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression3b.tex"'})

{com}. 
. *Table with all the control variables
. 
.   *Table with all the control variables
.   esttab using "regression3bappendix.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression3bappendix.tex"'})

{com}. 
.  
.  
.  
.  
.  
.  
.  
.  
.  
.  
.  
.  
.  
.  
. **Chaisemartin et al methods
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. did_multiplegt extremeright nomem_encr year ATET if includenew==1, placebo(4) breps(50) cluster(nomem_encr)
{res}
{txt}{p 0 0 2}DID estimators of the instantaneous treatment effect, of dynamic treatment effects if the dynamic option is used, and of placebo tests of the parallel trends assumption if the placebo option is used. The estimators are robust to heterogeneous effects, and to dynamic effects if the robust_dynamic option is used.{p_end}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:Estimate}{space 1}{space 1}{ralign 9:SE}{space 1}{space 1}{ralign 9:LB CI}{space 1}{space 1}{ralign 9:UB CI}{space 1}{space 1}{ralign 9:N}{space 1}{space 1}{ralign 9:Switchers}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:Effect_0}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0385232}}}{space 1}{space 1}{ralign 9:{res:{sf: .0427241}}}{space 1}{space 1}{ralign 9:{res:{sf:-.1222626}}}{space 1}{space 1}{ralign 9:{res:{sf: .0452161}}}{space 1}{space 1}{ralign 9:{res:{sf:      618}}}{space 1}{space 1}{ralign 9:{res:{sf:       61}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_1}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .0066018}}}{space 1}{space 1}{ralign 9:{res:{sf:  .037039}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0659947}}}{space 1}{space 1}{ralign 9:{res:{sf: .0791983}}}{space 1}{space 1}{ralign 9:{res:{sf:      449}}}{space 1}{space 1}{ralign 9:{res:{sf:       51}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_2}{space 1}{c |}{space 1}{ralign 9:{res:{sf: -.028028}}}{space 1}{space 1}{ralign 9:{res:{sf: .0493385}}}{space 1}{space 1}{ralign 9:{res:{sf:-.1247315}}}{space 1}{space 1}{ralign 9:{res:{sf: .0686754}}}{space 1}{space 1}{ralign 9:{res:{sf:      400}}}{space 1}{space 1}{ralign 9:{res:{sf:       38}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0655178}}}{space 1}{space 1}{ralign 9:{res:{sf: .0462232}}}{space 1}{space 1}{ralign 9:{res:{sf:-.1561153}}}{space 1}{space 1}{ralign 9:{res:{sf: .0250796}}}{space 1}{space 1}{ralign 9:{res:{sf:      339}}}{space 1}{space 1}{ralign 9:{res:{sf:       31}}}{space 1}
{space 0}{space 0}{ralign 12:Placebo_4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.0282102}}}{space 1}{space 1}{ralign 9:{res:{sf: .0887644}}}{space 1}{space 1}{ralign 9:{res:{sf:-.2021884}}}{space 1}{space 1}{ralign 9:{res:{sf: .1457681}}}{space 1}{space 1}{ralign 9:{res:{sf:      275}}}{space 1}{space 1}{ralign 9:{res:{sf:       24}}}{space 1}

{com}. 
. 
.  twowayfeweights extremeright nomem_encr year ATET if include2==1, type( feTR) 
{txt}Under the common trends assumption, beta estimates a weighted sum of 1063 ATTs. 
967 ATTs receive a positive weight, and 96 receive a negative weight.
The sum of the positive weights is equal to 1.0010674.
The sum of the negative weights is equal to -.00106736.
beta is compatible with a DGP where the average of those ATTs is equal to 0,
while their standard deviation is equal to .00129259.
beta is compatible with a DGP where those ATTs all are of a different sign than beta,
while their standard deviation is equal to .19520381.

{com}. 
. 
.  
.  *Same with other DVs
.  est clear
{res}{txt}
{com}.  xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  GL  ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,187
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       412

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0487{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0184{col 63}{txt}avg{col 67}={col 69}{res}       5.3
{txt}     Overall = {res}0.0187{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}11{txt},{res}411{txt}){col 67}={col 70}{res}     7.40
{txt}corr(u_i, Xb) = {res}0.0131{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:412} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          GL{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .1743343{col 26}{space 2} .2071128{col 37}{space 1}    0.84{col 46}{space 3}0.400{col 54}{space 4}-.2327982{col 67}{space 3} .5814667
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0102022{col 26}{space 2}   .14579{col 37}{space 1}   -0.07{col 46}{space 3}0.944{col 54}{space 4}-.2967894{col 67}{space 3} .2763849
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .1832438{col 26}{space 2}  .156949{col 37}{space 1}    1.17{col 46}{space 3}0.244{col 54}{space 4}-.1252791{col 67}{space 3} .4917667
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.7828081{col 26}{space 2} .1792499{col 37}{space 1}   -4.37{col 46}{space 3}0.000{col 54}{space 4}-1.135169{col 67}{space 3}-.4304472
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.4082184{col 26}{space 2} .1825101{col 37}{space 1}   -2.24{col 46}{space 3}0.026{col 54}{space 4} -.766988{col 67}{space 3}-.0494488
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} -.168192{col 26}{space 2} .1960061{col 37}{space 1}   -0.86{col 46}{space 3}0.391{col 54}{space 4}-.5534916{col 67}{space 3} .2171076
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.3283274{col 26}{space 2} .2020512{col 37}{space 1}   -1.62{col 46}{space 3}0.105{col 54}{space 4}-.7255102{col 67}{space 3} .0688553
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.2888524{col 26}{space 2} .2056722{col 37}{space 1}   -1.40{col 46}{space 3}0.161{col 54}{space 4} -.693153{col 67}{space 3} .1154482
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} -.341518{col 26}{space 2} .2080746{col 37}{space 1}   -1.64{col 46}{space 3}0.101{col 54}{space 4}-.7505412{col 67}{space 3} .0675052
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.5747782{col 26}{space 2} .2033088{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4}-.9744329{col 67}{space 3}-.1751235
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.8092796{col 26}{space 2} .2183914{col 37}{space 1}   -3.71{col 46}{space 3}0.000{col 54}{space 4}-1.238583{col 67}{space 3}-.3799761
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.102698{col 26}{space 2}  .152636{col 37}{space 1}   33.43{col 46}{space 3}0.000{col 54}{space 4} 4.802654{col 67}{space 3} 5.402743
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.0366793
     {txt}sigma_e {c |} {res}   1.29228
         {txt}rho {c |} {res} .71296439{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  GL ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,156
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       411

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0538{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0019{col 63}{txt}avg{col 67}={col 69}{res}       5.2
{txt}     Overall = {res}0.0063{col 63}{txt}max{col 67}={col 69}{res}        11

{col 49}{help j_robustsingular##|_new:F(21,410)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1266{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:411} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      GL{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .1987346{col 38}{space 2} .2095745{col 49}{space 1}    0.95{col 58}{space 3}0.344{col 66}{space 4}-.2132399{col 79}{space 3} .6107092
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1381813{col 38}{space 2} .4722985{col 49}{space 1}   -0.29{col 58}{space 3}0.770{col 66}{space 4} -1.06661{col 79}{space 3} .7902473
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .4180506{col 38}{space 2} .9603787{col 49}{space 1}    0.44{col 58}{space 3}0.664{col 66}{space 4} -1.46983{col 79}{space 3} 2.305931
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.6300112{col 38}{space 2}  .721305{col 49}{space 1}   -0.87{col 58}{space 3}0.383{col 66}{space 4}-2.047929{col 79}{space 3} .7879063
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.4862183{col 38}{space 2}  .605265{col 49}{space 1}   -0.80{col 58}{space 3}0.422{col 66}{space 4}-1.676028{col 79}{space 3} .7035915
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.6156756{col 38}{space 2} .3868039{col 49}{space 1}   -1.59{col 58}{space 3}0.112{col 66}{space 4}-1.376042{col 79}{space 3} .1446906
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .037776{col 38}{space 2} .0619829{col 49}{space 1}    0.61{col 58}{space 3}0.543{col 66}{space 4} -.084068{col 79}{space 3}   .15962
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.1875703{col 38}{space 2} .3718283{col 49}{space 1}   -0.50{col 58}{space 3}0.614{col 66}{space 4} -.918498{col 79}{space 3} .5433575
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0608667{col 38}{space 2} .2188806{col 49}{space 1}   -0.28{col 58}{space 3}0.781{col 66}{space 4} -.491135{col 79}{space 3} .3694016
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .4591443{col 38}{space 2} .1736285{col 49}{space 1}    2.64{col 58}{space 3}0.008{col 66}{space 4} .1178311{col 79}{space 3} .8004574
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} -.183896{col 38}{space 2} .2731228{col 49}{space 1}   -0.67{col 58}{space 3}0.501{col 66}{space 4}-.7207916{col 79}{space 3} .3529997
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0088844{col 38}{space 2} .2803406{col 49}{space 1}    0.03{col 58}{space 3}0.975{col 66}{space 4}-.5421999{col 79}{space 3} .5599687
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0030329{col 38}{space 2}  .150212{col 49}{space 1}   -0.02{col 58}{space 3}0.984{col 66}{space 4}-.2983146{col 79}{space 3} .2922488
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1966054{col 38}{space 2} .1586251{col 49}{space 1}    1.24{col 58}{space 3}0.216{col 66}{space 4}-.1152146{col 79}{space 3} .5084254
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.7710513{col 38}{space 2} .1800823{col 49}{space 1}   -4.28{col 58}{space 3}0.000{col 66}{space 4}-1.125051{col 79}{space 3}-.4170515
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.3963122{col 38}{space 2} .1821282{col 49}{space 1}   -2.18{col 58}{space 3}0.030{col 66}{space 4}-.7543337{col 79}{space 3}-.0382907
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.1657864{col 38}{space 2}  .197173{col 49}{space 1}   -0.84{col 58}{space 3}0.401{col 66}{space 4}-.5533825{col 79}{space 3} .2218097
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.3397772{col 38}{space 2} .2062695{col 49}{space 1}   -1.65{col 58}{space 3}0.100{col 66}{space 4}-.7452549{col 79}{space 3} .0657005
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.2977146{col 38}{space 2} .2124945{col 49}{space 1}   -1.40{col 58}{space 3}0.162{col 66}{space 4}-.7154292{col 79}{space 3}      .12
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.3594215{col 38}{space 2} .2129328{col 49}{space 1}   -1.69{col 58}{space 3}0.092{col 66}{space 4}-.7779976{col 79}{space 3} .0591547
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.5969331{col 38}{space 2} .2098611{col 49}{space 1}   -2.84{col 58}{space 3}0.005{col 66}{space 4}-1.009471{col 79}{space 3}-.1843952
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.8540137{col 38}{space 2} .2194331{col 49}{space 1}   -3.89{col 58}{space 3}0.000{col 66}{space 4}-1.285368{col 79}{space 3}-.4226593
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.164254{col 38}{space 2} .7206824{col 49}{space 1}    7.17{col 58}{space 3}0.000{col 66}{space 4} 3.747561{col 79}{space 3} 6.580948
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.0738817
                 {txt}sigma_e {c |} {res} 1.2926442
                     {txt}rho {c |} {res} .72020212{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.     eststo: xtreg price1 ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,513
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       423

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0254{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0011{col 63}{txt}avg{col 67}={col 69}{res}       5.9
{txt}     Overall = {res}0.0142{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}422{txt}){col 67}={col 70}{res}     2.96
{txt}corr(u_i, Xb) = {res}-0.0152{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0006

{txt}{ralign 78:(Std. err. adjusted for {res:423} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      price1{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0049327{col 26}{space 2}  .030824{col 37}{space 1}    0.16{col 46}{space 3}0.873{col 54}{space 4} -.055655{col 67}{space 3} .0655204
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0389544{col 26}{space 2} .0315432{col 37}{space 1}   -1.23{col 46}{space 3}0.218{col 54}{space 4}-.1009557{col 67}{space 3} .0230469
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0433786{col 26}{space 2} .0337544{col 37}{space 1}   -1.29{col 46}{space 3}0.199{col 54}{space 4}-.1097263{col 67}{space 3}  .022969
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0061701{col 26}{space 2}  .034149{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-.0732933{col 67}{space 3} .0609532
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}  .009207{col 26}{space 2} .0337471{col 37}{space 1}    0.27{col 46}{space 3}0.785{col 54}{space 4}-.0571265{col 67}{space 3} .0755404
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .0367301{col 26}{space 2} .0351766{col 37}{space 1}    1.04{col 46}{space 3}0.297{col 54}{space 4}-.0324131{col 67}{space 3} .1058733
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0669023{col 26}{space 2} .0355283{col 37}{space 1}   -1.88{col 46}{space 3}0.060{col 54}{space 4}-.1367369{col 67}{space 3} .0029322
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0715496{col 26}{space 2} .0380228{col 37}{space 1}   -1.88{col 46}{space 3}0.061{col 54}{space 4}-.1462871{col 67}{space 3}  .003188
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0676606{col 26}{space 2} .0366109{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4} -.139623{col 67}{space 3} .0043018
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0317904{col 26}{space 2} .0409658{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4}-.0487321{col 67}{space 3} .1123129
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0470269{col 26}{space 2} .0391792{col 37}{space 1}   -1.20{col 46}{space 3}0.231{col 54}{space 4}-.1240376{col 67}{space 3} .0299838
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} -.079445{col 26}{space 2} .0356097{col 37}{space 1}   -2.23{col 46}{space 3}0.026{col 54}{space 4}-.1494395{col 67}{space 3}-.0094505
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1381628{col 26}{space 2} .0288722{col 37}{space 1}    4.79{col 46}{space 3}0.000{col 54}{space 4} .0814117{col 67}{space 3}  .194914
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .22935185
     {txt}sigma_e {c |} {res} .26395934
         {txt}rho {c |} {res} .43019012{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  price1 ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,474
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       422

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0276{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0013{col 63}{txt}avg{col 67}={col 69}{res}       5.9
{txt}     Overall = {res}0.0040{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(22,421)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.2772{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:422} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                  price1{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}  .003014{col 38}{space 2} .0320714{col 49}{space 1}    0.09{col 58}{space 3}0.925{col 66}{space 4}-.0600261{col 79}{space 3} .0660541
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1112831{col 38}{space 2} .1339616{col 49}{space 1}   -0.83{col 58}{space 3}0.407{col 66}{space 4}   -.3746{col 79}{space 3} .1520338
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0327179{col 38}{space 2} .1191328{col 49}{space 1}    0.27{col 58}{space 3}0.784{col 66}{space 4}-.2014513{col 79}{space 3} .2668872
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} -.026548{col 38}{space 2} .0983993{col 49}{space 1}   -0.27{col 58}{space 3}0.787{col 66}{space 4}-.2199632{col 79}{space 3} .1668672
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.1576132{col 38}{space 2} .1472391{col 49}{space 1}   -1.07{col 58}{space 3}0.285{col 66}{space 4}-.4470286{col 79}{space 3} .1318023
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.0130074{col 38}{space 2} .0871548{col 49}{space 1}   -0.15{col 58}{space 3}0.881{col 66}{space 4}-.1843201{col 79}{space 3} .1583053
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0060888{col 38}{space 2} .0069314{col 49}{space 1}   -0.88{col 58}{space 3}0.380{col 66}{space 4}-.0197134{col 79}{space 3} .0075357
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0282037{col 38}{space 2} .0442505{col 49}{space 1}   -0.64{col 58}{space 3}0.524{col 66}{space 4}-.1151832{col 79}{space 3} .0587758
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0194391{col 38}{space 2} .0298191{col 49}{space 1}    0.65{col 58}{space 3}0.515{col 66}{space 4}-.0391738{col 79}{space 3}  .078052
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0471344{col 38}{space 2} .0291207{col 49}{space 1}   -1.62{col 58}{space 3}0.106{col 66}{space 4}-.1043744{col 79}{space 3} .0101056
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0013478{col 38}{space 2} .0509913{col 49}{space 1}    0.03{col 58}{space 3}0.979{col 66}{space 4}-.0988814{col 79}{space 3}  .101577
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0195059{col 38}{space 2} .0321641{col 49}{space 1}    0.61{col 58}{space 3}0.545{col 66}{space 4}-.0437162{col 79}{space 3}  .082728
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0302361{col 38}{space 2} .0312541{col 49}{space 1}   -0.97{col 58}{space 3}0.334{col 66}{space 4}-.0916696{col 79}{space 3} .0311974
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0388406{col 38}{space 2} .0338112{col 49}{space 1}   -1.15{col 58}{space 3}0.251{col 66}{space 4}-.1053003{col 79}{space 3} .0276191
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0041191{col 38}{space 2} .0352579{col 49}{space 1}   -0.12{col 58}{space 3}0.907{col 66}{space 4}-.0734226{col 79}{space 3} .0651844
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0092837{col 38}{space 2} .0340027{col 49}{space 1}    0.27{col 58}{space 3}0.785{col 66}{space 4}-.0575525{col 79}{space 3} .0761199
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0363753{col 38}{space 2}  .034855{col 49}{space 1}    1.04{col 58}{space 3}0.297{col 66}{space 4}-.0321362{col 79}{space 3} .1048868
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0652063{col 38}{space 2} .0352562{col 49}{space 1}   -1.85{col 58}{space 3}0.065{col 66}{space 4}-.1345064{col 79}{space 3} .0040939
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0713399{col 38}{space 2} .0387952{col 49}{space 1}   -1.84{col 58}{space 3}0.067{col 66}{space 4}-.1475963{col 79}{space 3} .0049164
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0691484{col 38}{space 2} .0367356{col 49}{space 1}   -1.88{col 58}{space 3}0.060{col 66}{space 4}-.1413564{col 79}{space 3} .0030596
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}   .03119{col 38}{space 2} .0413706{col 49}{space 1}    0.75{col 58}{space 3}0.451{col 66}{space 4}-.0501287{col 79}{space 3} .1125087
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0491293{col 38}{space 2}  .039162{col 49}{space 1}   -1.25{col 58}{space 3}0.210{col 66}{space 4}-.1261067{col 79}{space 3} .0278482
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0758628{col 38}{space 2} .0367344{col 49}{space 1}   -2.07{col 58}{space 3}0.040{col 66}{space 4}-.1480685{col 79}{space 3}-.0036571
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2434533{col 38}{space 2} .1121659{col 49}{space 1}    2.17{col 58}{space 3}0.031{col 66}{space 4} .0229783{col 79}{space 3} .4639284
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .23973213
                 {txt}sigma_e {c |} {res} .26412643
                     {txt}rho {c |} {res} .45169824{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg  immigration  ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,477
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       422

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0046{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0020{col 63}{txt}avg{col 67}={col 69}{res}       5.9
{txt}     Overall = {res}0.0005{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}421{txt}){col 67}={col 70}{res}     1.06
{txt}corr(u_i, Xb) = {res}-0.0242{txt}{col 49}Prob > F{col 67}={col 73}{res}0.3898

{txt}{ralign 78:(Std. err. adjusted for {res:422} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} immigration{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2} .0462097{col 26}{space 2} .0672462{col 37}{space 1}    0.69{col 46}{space 3}0.492{col 54}{space 4}-.0859703{col 67}{space 3} .1783898
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} -.023088{col 26}{space 2} .0685239{col 37}{space 1}   -0.34{col 46}{space 3}0.736{col 54}{space 4}-.1577796{col 67}{space 3} .1116036
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0475901{col 26}{space 2} .0675164{col 37}{space 1}   -0.70{col 46}{space 3}0.481{col 54}{space 4}-.1803013{col 67}{space 3}  .085121
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .0153266{col 26}{space 2} .0695123{col 37}{space 1}    0.22{col 46}{space 3}0.826{col 54}{space 4}-.1213078{col 67}{space 3}  .151961
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0242129{col 26}{space 2} .0712447{col 37}{space 1}   -0.34{col 46}{space 3}0.734{col 54}{space 4}-.1642525{col 67}{space 3} .1158267
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0160036{col 26}{space 2}  .069729{col 37}{space 1}   -0.23{col 46}{space 3}0.819{col 54}{space 4}-.1530639{col 67}{space 3} .1210567
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} -.040711{col 26}{space 2} .0772869{col 37}{space 1}   -0.53{col 46}{space 3}0.599{col 54}{space 4}-.1926273{col 67}{space 3} .1112053
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0470765{col 26}{space 2} .0844362{col 37}{space 1}   -0.56{col 46}{space 3}0.577{col 54}{space 4}-.2130456{col 67}{space 3} .1188927
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0743044{col 26}{space 2} .0779294{col 37}{space 1}   -0.95{col 46}{space 3}0.341{col 54}{space 4}-.2274836{col 67}{space 3} .0788749
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}-.0626249{col 26}{space 2} .0813371{col 37}{space 1}   -0.77{col 46}{space 3}0.442{col 54}{space 4}-.2225023{col 67}{space 3} .0972524
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .0220748{col 26}{space 2} .0759271{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4}-.1271686{col 67}{space 3} .1713182
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.1311224{col 26}{space 2} .0774485{col 37}{space 1}   -1.69{col 46}{space 3}0.091{col 54}{space 4}-.2833564{col 67}{space 3} .0211116
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.756501{col 26}{space 2}  .058496{col 37}{space 1}   64.22{col 46}{space 3}0.000{col 54}{space 4}  3.64152{col 67}{space 3} 3.871481
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .79284283
     {txt}sigma_e {c |} {res} .58568595
         {txt}rho {c |} {res} .64695531{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  immigration ATET  i.oplcat   lninc i.employ  renter i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,441
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       421

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0126{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0088{col 63}{txt}avg{col 67}={col 69}{res}       5.8
{txt}     Overall = {res}0.0048{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(22,420)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.2993{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:421} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             immigration{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0456969{col 38}{space 2} .0669492{col 49}{space 1}    0.68{col 58}{space 3}0.495{col 66}{space 4}-.0859003{col 79}{space 3} .1772942
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0096745{col 38}{space 2} .1639414{col 49}{space 1}   -0.06{col 58}{space 3}0.953{col 66}{space 4}-.3319222{col 79}{space 3} .3125733
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .5360686{col 38}{space 2} .2678785{col 49}{space 1}    2.00{col 58}{space 3}0.046{col 66}{space 4} .0095189{col 79}{space 3} 1.062618
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}  .124556{col 38}{space 2} .1686278{col 49}{space 1}    0.74{col 58}{space 3}0.461{col 66}{space 4}-.2069035{col 79}{space 3} .4560156
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0933445{col 38}{space 2}  .160577{col 49}{space 1}   -0.58{col 58}{space 3}0.561{col 66}{space 4}-.4089792{col 79}{space 3} .2222901
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.8374357{col 38}{space 2} .2255899{col 49}{space 1}   -3.71{col 58}{space 3}0.000{col 66}{space 4}-1.280862{col 79}{space 3}-.3940098
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0121617{col 38}{space 2}  .020918{col 49}{space 1}    0.58{col 58}{space 3}0.561{col 66}{space 4}-.0289553{col 79}{space 3} .0532787
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0081464{col 38}{space 2} .0730441{col 49}{space 1}   -0.11{col 58}{space 3}0.911{col 66}{space 4}-.1517239{col 79}{space 3} .1354312
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .1193632{col 38}{space 2} .0643266{col 49}{space 1}    1.86{col 58}{space 3}0.064{col 66}{space 4}-.0070789{col 79}{space 3} .2458053
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .6421289{col 38}{space 2} .0606019{col 49}{space 1}   10.60{col 58}{space 3}0.000{col 66}{space 4} .5230081{col 79}{space 3} .7612497
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1221459{col 38}{space 2} .1038663{col 49}{space 1}    1.18{col 58}{space 3}0.240{col 66}{space 4}-.0820166{col 79}{space 3} .3263084
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0525325{col 38}{space 2} .0740317{col 49}{space 1}   -0.71{col 58}{space 3}0.478{col 66}{space 4}-.1980513{col 79}{space 3} .0929863
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0148215{col 38}{space 2} .0702643{col 49}{space 1}   -0.21{col 58}{space 3}0.833{col 66}{space 4}-.1529351{col 79}{space 3}  .123292
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0494341{col 38}{space 2} .0667138{col 49}{space 1}   -0.74{col 58}{space 3}0.459{col 66}{space 4}-.1805685{col 79}{space 3} .0817004
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0167815{col 38}{space 2} .0700998{col 49}{space 1}    0.24{col 58}{space 3}0.811{col 66}{space 4}-.1210087{col 79}{space 3} .1545717
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0223722{col 38}{space 2} .0713307{col 49}{space 1}   -0.31{col 58}{space 3}0.754{col 66}{space 4}-.1625819{col 79}{space 3} .1178376
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0156735{col 38}{space 2} .0701409{col 49}{space 1}   -0.22{col 58}{space 3}0.823{col 66}{space 4}-.1535445{col 79}{space 3} .1221975
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0328251{col 38}{space 2} .0769268{col 49}{space 1}   -0.43{col 58}{space 3}0.670{col 66}{space 4}-.1840346{col 79}{space 3} .1183845
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0156554{col 38}{space 2} .0836944{col 49}{space 1}   -0.19{col 58}{space 3}0.852{col 66}{space 4}-.1801676{col 79}{space 3} .1488568
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} -.040265{col 38}{space 2} .0781364{col 49}{space 1}   -0.52{col 58}{space 3}0.607{col 66}{space 4}-.1938521{col 79}{space 3}  .113322
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0479654{col 38}{space 2} .0821777{col 49}{space 1}   -0.58{col 58}{space 3}0.560{col 66}{space 4}-.2094962{col 79}{space 3} .1135654
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0432548{col 38}{space 2} .0770385{col 49}{space 1}    0.56{col 58}{space 3}0.575{col 66}{space 4}-.1081743{col 79}{space 3}  .194684
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.1143255{col 38}{space 2} .0801043{col 49}{space 1}   -1.43{col 58}{space 3}0.154{col 66}{space 4}-.2717807{col 79}{space 3} .0431298
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.651988{col 38}{space 2} .2220355{col 49}{space 1}   16.45{col 58}{space 3}0.000{col 66}{space 4} 3.215549{col 79}{space 3} 4.088427
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .82666036
                 {txt}sigma_e {c |} {res} .57808208
                     {txt}rho {c |} {res} .67158358{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg  EU  ATET i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,421
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       421

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0387{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0078{col 63}{txt}avg{col 67}={col 69}{res}       5.8
{txt}     Overall = {res}0.0142{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}420{txt}){col 67}={col 70}{res}     4.89
{txt}corr(u_i, Xb) = {res}-0.0058{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:421} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          EU{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0189354{col 26}{space 2} .0947076{col 37}{space 1}   -0.20{col 46}{space 3}0.842{col 54}{space 4}-.2050954{col 67}{space 3} .1672245
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} -.058139{col 26}{space 2} .0960669{col 37}{space 1}   -0.61{col 46}{space 3}0.545{col 54}{space 4}-.2469709{col 67}{space 3} .1306928
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .2372159{col 26}{space 2} .1052177{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} .0303971{col 67}{space 3} .4440347
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .2960418{col 26}{space 2} .1010476{col 37}{space 1}    2.93{col 46}{space 3}0.004{col 54}{space 4} .0974198{col 67}{space 3} .4946638
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .3327282{col 26}{space 2} .1069034{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .1225958{col 67}{space 3} .5428606
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .4615602{col 26}{space 2} .1102356{col 37}{space 1}    4.19{col 46}{space 3}0.000{col 54}{space 4} .2448779{col 67}{space 3} .6782425
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .3287427{col 26}{space 2} .1109279{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .1106997{col 67}{space 3} .5467858
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .4552099{col 26}{space 2}  .114993{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} .2291764{col 67}{space 3} .6812434
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}  .330946{col 26}{space 2}  .114803{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .1052859{col 67}{space 3} .5566061
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0992266{col 26}{space 2}  .112964{col 37}{space 1}    0.88{col 46}{space 3}0.380{col 54}{space 4}-.1228186{col 67}{space 3} .3212717
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .3091937{col 26}{space 2} .1146277{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .0838782{col 67}{space 3} .5345091
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .2160621{col 26}{space 2} .1107246{col 37}{space 1}    1.95{col 46}{space 3}0.052{col 54}{space 4}-.0015812{col 67}{space 3} .4337055
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.283745{col 26}{space 2} .0910766{col 37}{space 1}   36.05{col 46}{space 3}0.000{col 54}{space 4} 3.104722{col 67}{space 3} 3.462768
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 1.0002154
     {txt}sigma_e {c |} {res} .74026108
         {txt}rho {c |} {res} .64609899{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  EU ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,385
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       420

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0432{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0380{col 63}{txt}avg{col 67}={col 69}{res}       5.7
{txt}     Overall = {res}0.0381{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(22,419)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}0.0357{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:420} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      EU{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0061801{col 38}{space 2} .0917166{col 49}{space 1}    0.07{col 58}{space 3}0.946{col 66}{space 4}-.1741019{col 79}{space 3} .1864621
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.3119613{col 38}{space 2} .1475721{col 49}{space 1}   -2.11{col 58}{space 3}0.035{col 66}{space 4}-.6020352{col 79}{space 3}-.0218874
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.1064242{col 38}{space 2} .3298439{col 49}{space 1}   -0.32{col 58}{space 3}0.747{col 66}{space 4}-.7547791{col 79}{space 3} .5419308
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.2268071{col 38}{space 2}  .259737{col 49}{space 1}   -0.87{col 58}{space 3}0.383{col 66}{space 4}-.7373571{col 79}{space 3} .2837429
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.4070579{col 38}{space 2} .2914287{col 49}{space 1}   -1.40{col 58}{space 3}0.163{col 66}{space 4}-.9799023{col 79}{space 3} .1657866
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.4533817{col 38}{space 2}  .231459{col 49}{space 1}   -1.96{col 58}{space 3}0.051{col 66}{space 4}-.9083472{col 79}{space 3} .0015838
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0069047{col 38}{space 2} .0330958{col 49}{space 1}   -0.21{col 58}{space 3}0.835{col 66}{space 4}-.0719591{col 79}{space 3} .0581498
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0946226{col 38}{space 2} .1548706{col 49}{space 1}   -0.61{col 58}{space 3}0.542{col 66}{space 4}-.3990426{col 79}{space 3} .2097975
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0636587{col 38}{space 2} .0914117{col 49}{space 1}   -0.70{col 58}{space 3}0.487{col 66}{space 4}-.2433413{col 79}{space 3} .1160239
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} 1.382329{col 38}{space 2} .0899257{col 49}{space 1}   15.37{col 58}{space 3}0.000{col 66}{space 4} 1.205567{col 79}{space 3} 1.559091
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.1715293{col 38}{space 2}  .147435{col 49}{space 1}   -1.16{col 58}{space 3}0.245{col 66}{space 4}-.4613337{col 79}{space 3} .1182751
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.1490726{col 38}{space 2} .1065764{col 49}{space 1}   -1.40{col 58}{space 3}0.163{col 66}{space 4}-.3585636{col 79}{space 3} .0604185
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0680805{col 38}{space 2} .1029478{col 49}{space 1}   -0.66{col 58}{space 3}0.509{col 66}{space 4}-.2704391{col 79}{space 3} .1342781
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1976533{col 38}{space 2} .1093017{col 49}{space 1}    1.81{col 58}{space 3}0.071{col 66}{space 4}-.0171947{col 79}{space 3} .4125012
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .2866134{col 38}{space 2} .1030621{col 49}{space 1}    2.78{col 58}{space 3}0.006{col 66}{space 4} .0840302{col 79}{space 3} .4891965
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .3368075{col 38}{space 2} .1077243{col 49}{space 1}    3.13{col 58}{space 3}0.002{col 66}{space 4}   .12506{col 79}{space 3}  .548555
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .4635745{col 38}{space 2} .1106178{col 49}{space 1}    4.19{col 58}{space 3}0.000{col 66}{space 4} .2461396{col 79}{space 3} .6810094
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3429411{col 38}{space 2} .1127441{col 49}{space 1}    3.04{col 58}{space 3}0.002{col 66}{space 4} .1213266{col 79}{space 3} .5645556
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .4614549{col 38}{space 2} .1181405{col 49}{space 1}    3.91{col 58}{space 3}0.000{col 66}{space 4} .2292331{col 79}{space 3} .6936767
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .3369025{col 38}{space 2} .1167997{col 49}{space 1}    2.88{col 58}{space 3}0.004{col 66}{space 4} .1073162{col 79}{space 3} .5664888
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .1212689{col 38}{space 2} .1147778{col 49}{space 1}    1.06{col 58}{space 3}0.291{col 66}{space 4}-.1043432{col 79}{space 3}  .346881
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3290154{col 38}{space 2} .1173928{col 49}{space 1}    2.80{col 58}{space 3}0.005{col 66}{space 4} .0982631{col 79}{space 3} .5597676
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .2316669{col 38}{space 2} .1145469{col 49}{space 1}    2.02{col 58}{space 3}0.044{col 66}{space 4} .0065088{col 79}{space 3} .4568251
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.681383{col 38}{space 2} .3053431{col 49}{space 1}   12.06{col 58}{space 3}0.000{col 66}{space 4} 3.081188{col 79}{space 3} 4.281579
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res}  .9907231
                 {txt}sigma_e {c |} {res} .73505058
                     {txt}rho {c |} {res} .64496771{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg leftright ATET  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,311
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       410

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0148{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0034{col 63}{txt}avg{col 67}={col 69}{res}       5.6
{txt}     Overall = {res}0.0035{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}12{txt},{res}409{txt}){col 67}={col 70}{res}     1.67
{txt}corr(u_i, Xb) = {res}-0.0117{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0720

{txt}{ralign 78:(Std. err. adjusted for {res:410} clusters in {res:panelidGWE})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   leftright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.3203074{col 26}{space 2} .1704266{col 37}{space 1}   -1.88{col 46}{space 3}0.061{col 54}{space 4}-.6553288{col 67}{space 3} .0147141
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .4177683{col 26}{space 2} .1362843{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .1498633{col 67}{space 3} .6856733
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .3626568{col 26}{space 2} .1391804{col 37}{space 1}    2.61{col 46}{space 3}0.010{col 54}{space 4} .0890585{col 67}{space 3} .6362551
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .3815582{col 26}{space 2} .1398346{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4}  .106674{col 67}{space 3} .6564425
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .3461018{col 26}{space 2} .1452718{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4} .0605292{col 67}{space 3} .6316743
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}  .414662{col 26}{space 2} .1361629{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4} .1469955{col 67}{space 3} .6823286
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .4771341{col 26}{space 2} .1490105{col 37}{space 1}    3.20{col 46}{space 3}0.001{col 54}{space 4} .1842121{col 67}{space 3} .7700561
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .3428565{col 26}{space 2} .1381937{col 37}{space 1}    2.48{col 46}{space 3}0.014{col 54}{space 4} .0711979{col 67}{space 3} .6145151
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .4742444{col 26}{space 2} .1578144{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .1640159{col 67}{space 3} .7844729
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .4103458{col 26}{space 2} .1579349{col 37}{space 1}    2.60{col 46}{space 3}0.010{col 54}{space 4} .0998804{col 67}{space 3} .7208111
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .3905628{col 26}{space 2} .1613683{col 37}{space 1}    2.42{col 46}{space 3}0.016{col 54}{space 4} .0733481{col 67}{space 3} .7077775
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .6145709{col 26}{space 2} .1726382{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .2752019{col 67}{space 3} .9539399
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.897855{col 26}{space 2} .1186832{col 37}{space 1}   41.27{col 46}{space 3}0.000{col 54}{space 4}  4.66455{col 67}{space 3}  5.13116
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 1.8831659
     {txt}sigma_e {c |} {res} 1.0299143
         {txt}rho {c |} {res} .76976016{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est9{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  leftright ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,278
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       409

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0216{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0000{col 63}{txt}avg{col 67}={col 69}{res}       5.6
{txt}     Overall = {res}0.0001{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(22,408)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1718{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:409} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}               leftright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.3343064{col 38}{space 2} .1732609{col 49}{space 1}   -1.93{col 58}{space 3}0.054{col 66}{space 4}-.6749018{col 79}{space 3} .0062891
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .3625094{col 38}{space 2}  .333291{col 49}{space 1}    1.09{col 58}{space 3}0.277{col 66}{space 4}-.2926725{col 79}{space 3} 1.017691
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .6056415{col 38}{space 2} .3994559{col 49}{space 1}    1.52{col 58}{space 3}0.130{col 66}{space 4} -.179607{col 79}{space 3}  1.39089
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} 1.071413{col 38}{space 2} .5586553{col 49}{space 1}    1.92{col 58}{space 3}0.056{col 66}{space 4}-.0267893{col 79}{space 3} 2.169615
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .7310885{col 38}{space 2}  .389057{col 49}{space 1}    1.88{col 58}{space 3}0.061{col 66}{space 4}-.0337179{col 79}{space 3} 1.495895
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .7614713{col 38}{space 2} .3358788{col 49}{space 1}    2.27{col 58}{space 3}0.024{col 66}{space 4} .1012023{col 79}{space 3}  1.42174
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0573215{col 38}{space 2} .0342645{col 49}{space 1}    1.67{col 58}{space 3}0.095{col 66}{space 4}-.0100356{col 79}{space 3} .1246785
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0859108{col 38}{space 2} .1737984{col 49}{space 1}    0.49{col 58}{space 3}0.621{col 66}{space 4}-.2557414{col 79}{space 3} .4275629
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}  .012798{col 38}{space 2} .1324531{col 49}{space 1}    0.10{col 58}{space 3}0.923{col 66}{space 4}-.2475776{col 79}{space 3} .2731736
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .9487312{col 38}{space 2} .1489478{col 49}{space 1}    6.37{col 58}{space 3}0.000{col 66}{space 4} .6559302{col 79}{space 3} 1.241532
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .3703775{col 38}{space 2} .2047325{col 49}{space 1}    1.81{col 58}{space 3}0.071{col 66}{space 4}-.0320847{col 79}{space 3} .7728398
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1134818{col 38}{space 2} .1539531{col 49}{space 1}    0.74{col 58}{space 3}0.461{col 66}{space 4}-.1891584{col 79}{space 3} .4161221
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .3932897{col 38}{space 2} .1361332{col 49}{space 1}    2.89{col 58}{space 3}0.004{col 66}{space 4} .1256796{col 79}{space 3} .6608997
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .3523198{col 38}{space 2} .1413286{col 49}{space 1}    2.49{col 58}{space 3}0.013{col 66}{space 4} .0744966{col 79}{space 3}  .630143
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .3584025{col 38}{space 2} .1394007{col 49}{space 1}    2.57{col 58}{space 3}0.010{col 66}{space 4} .0843693{col 79}{space 3} .6324358
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .3152592{col 38}{space 2} .1468432{col 49}{space 1}    2.15{col 58}{space 3}0.032{col 66}{space 4} .0265954{col 79}{space 3}  .603923
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .3816418{col 38}{space 2} .1367603{col 49}{space 1}    2.79{col 58}{space 3}0.006{col 66}{space 4} .1127991{col 79}{space 3} .6504845
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .4289267{col 38}{space 2} .1528289{col 49}{space 1}    2.81{col 58}{space 3}0.005{col 66}{space 4} .1284964{col 79}{space 3}  .729357
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .3009662{col 38}{space 2} .1462182{col 49}{space 1}    2.06{col 58}{space 3}0.040{col 66}{space 4} .0135312{col 79}{space 3} .5884012
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}  .400751{col 38}{space 2}  .166031{col 49}{space 1}    2.41{col 58}{space 3}0.016{col 66}{space 4}  .074368{col 79}{space 3}  .727134
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .3509054{col 38}{space 2} .1659388{col 49}{space 1}    2.11{col 58}{space 3}0.035{col 66}{space 4} .0247036{col 79}{space 3} .6771072
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3250008{col 38}{space 2} .1684451{col 49}{space 1}    1.93{col 58}{space 3}0.054{col 66}{space 4}-.0061277{col 79}{space 3} .6561293
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .5554404{col 38}{space 2} .1818253{col 49}{space 1}    3.05{col 58}{space 3}0.002{col 66}{space 4} .1980091{col 79}{space 3} .9128716
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.775289{col 38}{space 2} .4177691{col 49}{space 1}    9.04{col 58}{space 3}0.000{col 66}{space 4}  2.95404{col 79}{space 3} 4.596537
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9252885
                 {txt}sigma_e {c |} {res} 1.0315226
                     {txt}rho {c |} {res} .77696727{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est10{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    
. esttab using "regression3c.tex", replace f  ///
>  b(2) se(2) ///
>  keep(ATET ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of energy poverty on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must adapt" "Oppose EU Integration" "Left-Right" , pattern(1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression3c.tex"'})

{com}.  
.  * Appendix table with all observations, energy poverty
.  esttab using "regression3cappendix.tex", replace f  ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of energy poverty on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must adapt" "Oppose EU Integration" "Left-Right" , pattern(1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression3cappendix.tex"'})

{com}.  
.  
.  
.  *Same with other DVs
.  est clear
{res}{txt}
{com}.  xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  GL ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1 & incquart<3, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:6.oplcat} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,444
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       303

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0802{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0055{col 63}{txt}avg{col 67}={col 69}{res}       4.8
{txt}     Overall = {res}0.0001{col 63}{txt}max{col 67}={col 69}{res}        11

{col 49}{help j_robustsingular##|_new:F(19,302)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.4616{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:303} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      GL{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .2452107{col 38}{space 2} .2360658{col 49}{space 1}    1.04{col 58}{space 3}0.300{col 66}{space 4}-.2193314{col 79}{space 3} .7097527
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .6755365{col 38}{space 2} .2867164{col 49}{space 1}    2.36{col 58}{space 3}0.019{col 66}{space 4} .1113215{col 79}{space 3} 1.239752
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} 2.301646{col 38}{space 2} .3379616{col 49}{space 1}    6.81{col 58}{space 3}0.000{col 66}{space 4} 1.636588{col 79}{space 3} 2.966704
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.6736892{col 38}{space 2} .7466387{col 49}{space 1}   -0.90{col 58}{space 3}0.368{col 66}{space 4}-2.142962{col 79}{space 3} .7955839
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-1.139662{col 38}{space 2} .9228722{col 49}{space 1}   -1.23{col 58}{space 3}0.218{col 66}{space 4}-2.955736{col 79}{space 3} .6764124
{txt}{space 16}college  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0035223{col 38}{space 2} .0553324{col 49}{space 1}   -0.06{col 58}{space 3}0.949{col 66}{space 4}-.1124082{col 79}{space 3} .1053636
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} -.008294{col 38}{space 2} .4042438{col 49}{space 1}   -0.02{col 58}{space 3}0.984{col 66}{space 4}-.8037853{col 79}{space 3} .7871973
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1512792{col 38}{space 2} .2594461{col 49}{space 1}   -0.58{col 58}{space 3}0.560{col 66}{space 4}-.6618303{col 79}{space 3} .3592718
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .6268702{col 38}{space 2} .2057743{col 49}{space 1}    3.05{col 58}{space 3}0.003{col 66}{space 4} .2219373{col 79}{space 3} 1.031803
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.2294238{col 38}{space 2} .3113097{col 49}{space 1}   -0.74{col 58}{space 3}0.462{col 66}{space 4}-.8420347{col 79}{space 3} .3831871
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0124676{col 38}{space 2} .3070565{col 49}{space 1}    0.04{col 58}{space 3}0.968{col 66}{space 4}-.5917736{col 79}{space 3} .6167089
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.1125617{col 38}{space 2} .1840486{col 49}{space 1}   -0.61{col 58}{space 3}0.541{col 66}{space 4}-.4747418{col 79}{space 3} .2496183
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0699817{col 38}{space 2} .1877375{col 49}{space 1}    0.37{col 58}{space 3}0.710{col 66}{space 4}-.2994575{col 79}{space 3} .4394209
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} -.912378{col 38}{space 2} .2172905{col 49}{space 1}   -4.20{col 58}{space 3}0.000{col 66}{space 4}-1.339973{col 79}{space 3}-.4847828
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.5661744{col 38}{space 2} .2092418{col 49}{space 1}   -2.71{col 58}{space 3}0.007{col 66}{space 4}-.9779309{col 79}{space 3}-.1544179
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} -.276938{col 38}{space 2} .2307277{col 49}{space 1}   -1.20{col 58}{space 3}0.231{col 66}{space 4}-.7309755{col 79}{space 3} .1770995
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.5360258{col 38}{space 2} .2438513{col 49}{space 1}   -2.20{col 58}{space 3}0.029{col 66}{space 4}-1.015889{col 79}{space 3}-.0561629
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.4753331{col 38}{space 2} .2568957{col 49}{space 1}   -1.85{col 58}{space 3}0.065{col 66}{space 4}-.9808654{col 79}{space 3} .0301991
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.5886831{col 38}{space 2}  .258396{col 49}{space 1}   -2.28{col 58}{space 3}0.023{col 66}{space 4}-1.097168{col 79}{space 3}-.0801984
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.9990333{col 38}{space 2} .2505959{col 49}{space 1}   -3.99{col 58}{space 3}0.000{col 66}{space 4}-1.492169{col 79}{space 3}-.5058981
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-1.092461{col 38}{space 2} .2671969{col 49}{space 1}   -4.09{col 58}{space 3}0.000{col 66}{space 4}-1.618264{col 79}{space 3}-.5666576
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.320822{col 38}{space 2} .6027575{col 49}{space 1}    8.83{col 58}{space 3}0.000{col 66}{space 4} 4.134685{col 79}{space 3} 6.506958
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.2160243
                 {txt}sigma_e {c |} {res} 1.2767786
                     {txt}rho {c |} {res} .75077485{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Low"

{txt}added macro:
               e(CNTL) : "{res:Low}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  eststo: xtreg  GL ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1 & incquart>2, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       712
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       187

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0494{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0231{col 63}{txt}avg{col 67}={col 69}{res}       3.8
{txt}     Overall = {res}0.0112{col 63}{txt}max{col 67}={col 69}{res}        11

{col 49}{help j_robustsingular##|_new:F(20,186)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1335{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:187} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      GL{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .1518553{col 38}{space 2} .5156994{col 49}{space 1}    0.29{col 58}{space 3}0.769{col 66}{space 4}-.8655166{col 79}{space 3} 1.169227
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-1.190491{col 38}{space 2} .8808456{col 49}{space 1}   -1.35{col 58}{space 3}0.178{col 66}{space 4}-2.928223{col 79}{space 3} .5472415
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} -1.65698{col 38}{space 2} 1.059262{col 49}{space 1}   -1.56{col 58}{space 3}0.119{col 66}{space 4}-3.746693{col 79}{space 3} .4327318
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-1.826574{col 38}{space 2} 1.066377{col 49}{space 1}   -1.71{col 58}{space 3}0.088{col 66}{space 4}-3.930322{col 79}{space 3} .2771745
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-1.304792{col 38}{space 2} .8751698{col 49}{space 1}   -1.49{col 58}{space 3}0.138{col 66}{space 4}-3.031327{col 79}{space 3} .4217433
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-1.709488{col 38}{space 2} .7188159{col 49}{space 1}   -2.38{col 58}{space 3}0.018{col 66}{space 4}-3.127568{col 79}{space 3} -.291408
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .1200487{col 38}{space 2} .5572046{col 49}{space 1}    0.22{col 58}{space 3}0.830{col 66}{space 4}-.9792046{col 79}{space 3} 1.219302
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.5488987{col 38}{space 2}   .80895{col 49}{space 1}   -0.68{col 58}{space 3}0.498{col 66}{space 4}-2.144795{col 79}{space 3} 1.046998
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1054253{col 38}{space 2} .4870296{col 49}{space 1}   -0.22{col 58}{space 3}0.829{col 66}{space 4}-1.066237{col 79}{space 3} .8553868
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0587615{col 38}{space 2} .7317668{col 49}{space 1}   -0.08{col 58}{space 3}0.936{col 66}{space 4}-1.502391{col 79}{space 3} 1.384868
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .3965074{col 38}{space 2} .6215739{col 49}{space 1}    0.64{col 58}{space 3}0.524{col 66}{space 4}-.8297337{col 79}{space 3} 1.622748
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .2179162{col 38}{space 2} .2537017{col 49}{space 1}    0.86{col 58}{space 3}0.391{col 66}{space 4}-.2825866{col 79}{space 3}  .718419
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .4505615{col 38}{space 2}  .299299{col 49}{space 1}    1.51{col 58}{space 3}0.134{col 66}{space 4}-.1398956{col 79}{space 3} 1.041019
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.4961681{col 38}{space 2} .3245692{col 49}{space 1}   -1.53{col 58}{space 3}0.128{col 66}{space 4}-1.136478{col 79}{space 3} .1441421
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.1209972{col 38}{space 2} .3535257{col 49}{space 1}   -0.34{col 58}{space 3}0.733{col 66}{space 4}-.8184326{col 79}{space 3} .5764383
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .1260564{col 38}{space 2} .3534153{col 49}{space 1}    0.36{col 58}{space 3}0.722{col 66}{space 4}-.5711614{col 79}{space 3} .8232741
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .1260739{col 38}{space 2} .3628955{col 49}{space 1}    0.35{col 58}{space 3}0.729{col 66}{space 4}-.5898463{col 79}{space 3} .8419941
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .1327129{col 38}{space 2} .3608266{col 49}{space 1}    0.37{col 58}{space 3}0.713{col 66}{space 4}-.5791258{col 79}{space 3} .8445516
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .1065839{col 38}{space 2} .3834307{col 49}{space 1}    0.28{col 58}{space 3}0.781{col 66}{space 4}-.6498483{col 79}{space 3} .8630161
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0404705{col 38}{space 2} .4021708{col 49}{space 1}    0.10{col 58}{space 3}0.920{col 66}{space 4}-.7529321{col 79}{space 3} .8338731
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.3590413{col 38}{space 2} .4327595{col 49}{space 1}   -0.83{col 58}{space 3}0.408{col 66}{space 4}-1.212789{col 79}{space 3} .4947067
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 5.209265{col 38}{space 2} 4.851255{col 49}{space 1}    1.07{col 58}{space 3}0.284{col 66}{space 4}-4.361292{col 79}{space 3} 14.77982
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.3210296
                 {txt}sigma_e {c |} {res} 1.2945041
                     {txt}rho {c |} {res} .76274103{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "High"

{txt}added macro:
               e(CNTL) : "{res:High}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  price1 ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1 & incquart<3, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:6.oplcat} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,688
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       318

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0450{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0040{col 63}{txt}avg{col 67}={col 69}{res}       5.3
{txt}     Overall = {res}0.0034{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(20,317)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.3930{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:318} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                  price1{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0515777{col 38}{space 2} .0403764{col 49}{space 1}   -1.28{col 58}{space 3}0.202{col 66}{space 4}-.1310173{col 79}{space 3} .0278619
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.2198823{col 38}{space 2} .1314966{col 49}{space 1}   -1.67{col 58}{space 3}0.095{col 66}{space 4}-.4785987{col 79}{space 3} .0388341
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0120911{col 38}{space 2} .1375012{col 49}{space 1}    0.09{col 58}{space 3}0.930{col 66}{space 4}-.2584392{col 79}{space 3} .2826214
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.0648911{col 38}{space 2} .0962164{col 49}{space 1}   -0.67{col 58}{space 3}0.501{col 66}{space 4}-.2541945{col 79}{space 3} .1244123
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0688918{col 38}{space 2} .2753627{col 49}{space 1}   -0.25{col 58}{space 3}0.803{col 66}{space 4}-.6106611{col 79}{space 3} .4728776
{txt}{space 16}college  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0065404{col 38}{space 2}  .006405{col 49}{space 1}   -1.02{col 58}{space 3}0.308{col 66}{space 4}-.0191421{col 79}{space 3} .0060613
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0249674{col 38}{space 2} .0312832{col 49}{space 1}    0.80{col 58}{space 3}0.425{col 66}{space 4}-.0365816{col 79}{space 3} .0865163
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0259425{col 38}{space 2} .0393296{col 49}{space 1}    0.66{col 58}{space 3}0.510{col 66}{space 4}-.0514375{col 79}{space 3} .1033225
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0647511{col 38}{space 2} .0305708{col 49}{space 1}   -2.12{col 58}{space 3}0.035{col 66}{space 4}-.1248984{col 79}{space 3}-.0046039
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}-.0037245{col 38}{space 2} .0660616{col 49}{space 1}   -0.06{col 58}{space 3}0.955{col 66}{space 4} -.133699{col 79}{space 3}   .12625
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0653161{col 38}{space 2} .0374178{col 49}{space 1}    1.75{col 58}{space 3}0.082{col 66}{space 4}-.0083025{col 79}{space 3} .1389347
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0561424{col 38}{space 2} .0421838{col 49}{space 1}   -1.33{col 58}{space 3}0.184{col 66}{space 4} -.139138{col 79}{space 3} .0268532
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0261589{col 38}{space 2} .0428171{col 49}{space 1}   -0.61{col 58}{space 3}0.542{col 66}{space 4}-.1104004{col 79}{space 3} .0580826
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0312099{col 38}{space 2} .0410813{col 49}{space 1}   -0.76{col 58}{space 3}0.448{col 66}{space 4}-.1120363{col 79}{space 3} .0496165
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0147299{col 38}{space 2} .0411964{col 49}{space 1}    0.36{col 58}{space 3}0.721{col 66}{space 4}-.0663231{col 79}{space 3} .0957829
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}  .020517{col 38}{space 2} .0408697{col 49}{space 1}    0.50{col 58}{space 3}0.616{col 66}{space 4}-.0598931{col 79}{space 3}  .100927
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0658422{col 38}{space 2} .0439044{col 49}{space 1}   -1.50{col 58}{space 3}0.135{col 66}{space 4}-.1522231{col 79}{space 3} .0205388
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0722295{col 38}{space 2} .0481806{col 49}{space 1}   -1.50{col 58}{space 3}0.135{col 66}{space 4}-.1670236{col 79}{space 3} .0225646
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0719297{col 38}{space 2} .0460789{col 49}{space 1}   -1.56{col 58}{space 3}0.120{col 66}{space 4}-.1625887{col 79}{space 3} .0187294
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}  .075512{col 38}{space 2}  .054795{col 49}{space 1}    1.38{col 58}{space 3}0.169{col 66}{space 4}-.0322958{col 79}{space 3} .1833198
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0200998{col 38}{space 2} .0504887{col 49}{space 1}   -0.40{col 58}{space 3}0.691{col 66}{space 4}-.1194351{col 79}{space 3} .0792354
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0948045{col 38}{space 2} .0448799{col 49}{space 1}   -2.11{col 58}{space 3}0.035{col 66}{space 4}-.1831046{col 79}{space 3}-.0065045
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2656712{col 38}{space 2} .1112505{col 49}{space 1}    2.39{col 58}{space 3}0.018{col 66}{space 4} .0467885{col 79}{space 3} .4845538
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .28553826
                 {txt}sigma_e {c |} {res} .26697647
                     {txt}rho {c |} {res} .53355723{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Low"

{txt}added macro:
               e(CNTL) : "{res:Low}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  price1 ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1 & incquart>2, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       786
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       192

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0591{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0002{col 63}{txt}avg{col 67}={col 69}{res}       4.1
{txt}     Overall = {res}0.0176{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(21,191)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.3816{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:192} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                  price1{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .1670961{col 38}{space 2} .0547015{col 49}{space 1}    3.05{col 58}{space 3}0.003{col 66}{space 4} .0591994{col 79}{space 3} .2749928
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .3249605{col 38}{space 2} .1676261{col 49}{space 1}    1.94{col 58}{space 3}0.054{col 66}{space 4}-.0056756{col 79}{space 3} .6555965
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .1608126{col 38}{space 2} .2163045{col 49}{space 1}    0.74{col 58}{space 3}0.458{col 66}{space 4}-.2658398{col 79}{space 3}  .587465
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .1730086{col 38}{space 2} .2149199{col 49}{space 1}    0.80{col 58}{space 3}0.422{col 66}{space 4}-.2509127{col 79}{space 3}   .59693
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}  .013755{col 38}{space 2} .2032966{col 49}{space 1}    0.07{col 58}{space 3}0.946{col 66}{space 4}-.3872399{col 79}{space 3} .4147499
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .1162144{col 38}{space 2} .1530217{col 49}{space 1}    0.76{col 58}{space 3}0.449{col 66}{space 4} -.185615{col 79}{space 3} .4180438
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0684003{col 38}{space 2} .1004757{col 49}{space 1}   -0.68{col 58}{space 3}0.497{col 66}{space 4}-.2665848{col 79}{space 3} .1297842
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0467403{col 38}{space 2} .1235098{col 49}{space 1}   -0.38{col 58}{space 3}0.706{col 66}{space 4}-.2903587{col 79}{space 3} .1968781
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .0405005{col 38}{space 2} .0576077{col 49}{space 1}    0.70{col 58}{space 3}0.483{col 66}{space 4}-.0731286{col 79}{space 3} .1541295
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} -.026622{col 38}{space 2} .0565653{col 49}{space 1}   -0.47{col 58}{space 3}0.638{col 66}{space 4}-.1381948{col 79}{space 3} .0849509
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0992523{col 38}{space 2}  .061339{col 49}{space 1}   -1.62{col 58}{space 3}0.107{col 66}{space 4}-.2202411{col 79}{space 3} .0217365
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0213933{col 38}{space 2} .0479355{col 49}{space 1}    0.45{col 58}{space 3}0.656{col 66}{space 4}-.0731576{col 79}{space 3} .1159442
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0239008{col 38}{space 2} .0513751{col 49}{space 1}   -0.47{col 58}{space 3}0.642{col 66}{space 4}-.1252363{col 79}{space 3} .0774346
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0826622{col 38}{space 2} .0734294{col 49}{space 1}    1.13{col 58}{space 3}0.262{col 66}{space 4}-.0621745{col 79}{space 3}  .227499
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0145222{col 38}{space 2} .0590488{col 49}{space 1}    0.25{col 58}{space 3}0.806{col 66}{space 4}-.1019492{col 79}{space 3} .1309937
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0938351{col 38}{space 2} .0715581{col 49}{space 1}    1.31{col 58}{space 3}0.191{col 66}{space 4}-.0473106{col 79}{space 3} .2349808
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0477774{col 38}{space 2} .0594619{col 49}{space 1}   -0.80{col 58}{space 3}0.423{col 66}{space 4}-.1650637{col 79}{space 3} .0695089
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0337963{col 38}{space 2} .0597626{col 49}{space 1}   -0.57{col 58}{space 3}0.572{col 66}{space 4}-.1516757{col 79}{space 3} .0840832
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0435685{col 38}{space 2} .0610083{col 49}{space 1}   -0.71{col 58}{space 3}0.476{col 66}{space 4}-.1639052{col 79}{space 3} .0767681
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0316596{col 38}{space 2} .0581211{col 49}{space 1}   -0.54{col 58}{space 3}0.587{col 66}{space 4}-.1463013{col 79}{space 3}  .082982
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0788799{col 38}{space 2} .0643677{col 49}{space 1}   -1.23{col 58}{space 3}0.222{col 66}{space 4}-.2058427{col 79}{space 3}  .048083
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} -.012839{col 38}{space 2} .0628346{col 49}{space 1}   -0.20{col 58}{space 3}0.838{col 66}{space 4}-.1367779{col 79}{space 3} .1110999
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .5366299{col 38}{space 2} .8654993{col 49}{space 1}    0.62{col 58}{space 3}0.536{col 66}{space 4}-1.170535{col 79}{space 3} 2.243794
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .26383148
                 {txt}sigma_e {c |} {res} .25468253
                     {txt}rho {c |} {res} .51763905{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "High"

{txt}added macro:
               e(CNTL) : "{res:High}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  immigration ATET  i.oplcat   lninc i.employ  renter i.year if include==1 & includenew==1 & incquart<3, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:6.oplcat} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,662
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       317

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0147{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0015{col 63}{txt}avg{col 67}={col 69}{res}       5.2
{txt}     Overall = {res}0.0027{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(20,316)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.3633{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:317} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             immigration{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0361433{col 38}{space 2} .0852326{col 49}{space 1}    0.42{col 58}{space 3}0.672{col 66}{space 4}-.1315519{col 79}{space 3} .2038385
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .1608561{col 38}{space 2} .1708904{col 49}{space 1}    0.94{col 58}{space 3}0.347{col 66}{space 4}-.1753708{col 79}{space 3}  .497083
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} 1.040252{col 38}{space 2} .1882558{col 49}{space 1}    5.53{col 58}{space 3}0.000{col 66}{space 4} .6698593{col 79}{space 3} 1.410646
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .1349187{col 38}{space 2} .1848734{col 49}{space 1}    0.73{col 58}{space 3}0.466{col 66}{space 4}-.2288198{col 79}{space 3} .4986571
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .1495021{col 38}{space 2} .1889185{col 49}{space 1}    0.79{col 58}{space 3}0.429{col 66}{space 4}-.2221949{col 79}{space 3}  .521199
{txt}{space 16}college  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .0112901{col 38}{space 2} .0203807{col 49}{space 1}    0.55{col 58}{space 3}0.580{col 66}{space 4} -.028809{col 79}{space 3} .0513892
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0649161{col 38}{space 2} .0933064{col 49}{space 1}   -0.70{col 58}{space 3}0.487{col 66}{space 4}-.2484965{col 79}{space 3} .1186643
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .1165769{col 38}{space 2} .0813036{col 49}{space 1}    1.43{col 58}{space 3}0.153{col 66}{space 4}-.0433878{col 79}{space 3} .2765417
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .5628752{col 38}{space 2} .0694452{col 49}{space 1}    8.11{col 58}{space 3}0.000{col 66}{space 4} .4262417{col 79}{space 3} .6995087
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .1659979{col 38}{space 2} .1257675{col 49}{space 1}    1.32{col 58}{space 3}0.188{col 66}{space 4}-.0814497{col 79}{space 3} .4134454
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0203425{col 38}{space 2} .0963596{col 49}{space 1}   -0.21{col 58}{space 3}0.833{col 66}{space 4}  -.20993{col 79}{space 3}  .169245
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0063561{col 38}{space 2} .0819196{col 49}{space 1}    0.08{col 58}{space 3}0.938{col 66}{space 4}-.1548207{col 79}{space 3} .1675329
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} -.010344{col 38}{space 2} .0791254{col 49}{space 1}   -0.13{col 58}{space 3}0.896{col 66}{space 4}-.1660232{col 79}{space 3} .1453353
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0914175{col 38}{space 2} .0812601{col 49}{space 1}    1.12{col 58}{space 3}0.261{col 66}{space 4}-.0684618{col 79}{space 3} .2512968
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0308906{col 38}{space 2} .0842434{col 49}{space 1}   -0.37{col 58}{space 3}0.714{col 66}{space 4}-.1966396{col 79}{space 3} .1348583
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0419183{col 38}{space 2} .0833396{col 49}{space 1}    0.50{col 58}{space 3}0.615{col 66}{space 4}-.1220524{col 79}{space 3} .2058889
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0535788{col 38}{space 2} .0891676{col 49}{space 1}   -0.60{col 58}{space 3}0.548{col 66}{space 4}-.2290159{col 79}{space 3} .1218583
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0467053{col 38}{space 2} .1063866{col 49}{space 1}   -0.44{col 58}{space 3}0.661{col 66}{space 4}-.2560209{col 79}{space 3} .1626102
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0465831{col 38}{space 2} .0942375{col 49}{space 1}   -0.49{col 58}{space 3}0.621{col 66}{space 4}-.2319954{col 79}{space 3} .1388292
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0094808{col 38}{space 2} .0979222{col 49}{space 1}    0.10{col 58}{space 3}0.923{col 66}{space 4}-.1831812{col 79}{space 3} .2021427
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0723752{col 38}{space 2} .0965318{col 49}{space 1}    0.75{col 58}{space 3}0.454{col 66}{space 4} -.117551{col 79}{space 3} .2623013
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0315848{col 38}{space 2} .0990364{col 49}{space 1}   -0.32{col 58}{space 3}0.750{col 66}{space 4}-.2264388{col 79}{space 3} .1632692
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.453743{col 38}{space 2} .2281434{col 49}{space 1}   15.14{col 58}{space 3}0.000{col 66}{space 4} 3.004871{col 79}{space 3} 3.902616
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .86967566
                 {txt}sigma_e {c |} {res} .58336402
                     {txt}rho {c |} {res} .68967876{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Low"

{txt}added macro:
               e(CNTL) : "{res:Low}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  immigration ATET  i.oplcat   lninc i.employ  renter i.year if include==1 & includenew==1 & incquart>2, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       779
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       191

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0512{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0176{col 63}{txt}avg{col 67}={col 69}{res}       4.1
{txt}     Overall = {res}0.0063{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(21,190)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.3904{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:191} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             immigration{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0959855{col 38}{space 2}  .113484{col 49}{space 1}    0.85{col 58}{space 3}0.399{col 66}{space 4}-.1278648{col 79}{space 3} .3198358
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-1.021047{col 38}{space 2} .2543929{col 49}{space 1}   -4.01{col 58}{space 3}0.000{col 66}{space 4}-1.522844{col 79}{space 3}-.5192499
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.1346301{col 38}{space 2} .2845575{col 49}{space 1}   -0.47{col 58}{space 3}0.637{col 66}{space 4}-.6959278{col 79}{space 3} .4266675
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.6075424{col 38}{space 2} .2789317{col 49}{space 1}   -2.18{col 58}{space 3}0.031{col 66}{space 4}-1.157743{col 79}{space 3}-.0573418
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.9228828{col 38}{space 2} .2608271{col 49}{space 1}   -3.54{col 58}{space 3}0.001{col 66}{space 4}-1.437372{col 79}{space 3} -.408394
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-1.168839{col 38}{space 2} .2375148{col 49}{space 1}   -4.92{col 58}{space 3}0.000{col 66}{space 4}-1.637343{col 79}{space 3}-.7003342
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .1602687{col 38}{space 2} .2851845{col 49}{space 1}    0.56{col 58}{space 3}0.575{col 66}{space 4}-.4022658{col 79}{space 3} .7228031
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0555911{col 38}{space 2} .0768821{col 49}{space 1}    0.72{col 58}{space 3}0.471{col 66}{space 4}-.0960609{col 79}{space 3} .2072432
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .1829284{col 38}{space 2} .1704623{col 49}{space 1}    1.07{col 58}{space 3}0.285{col 66}{space 4}-.1533134{col 79}{space 3} .5191701
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .3442112{col 38}{space 2} .2130745{col 49}{space 1}    1.62{col 58}{space 3}0.108{col 66}{space 4}-.0760843{col 79}{space 3} .7645067
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.0353963{col 38}{space 2} .1271786{col 49}{space 1}   -0.28{col 58}{space 3}0.781{col 66}{space 4}-.2862598{col 79}{space 3} .2154671
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.1063861{col 38}{space 2} .1462894{col 49}{space 1}   -0.73{col 58}{space 3}0.468{col 66}{space 4}-.3949461{col 79}{space 3} .1821739
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}  -.21929{col 38}{space 2} .1330191{col 49}{space 1}   -1.65{col 58}{space 3}0.101{col 66}{space 4} -.481674{col 79}{space 3} .0430939
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.2954238{col 38}{space 2} .1548687{col 49}{space 1}   -1.91{col 58}{space 3}0.058{col 66}{space 4}-.6009066{col 79}{space 3} .0100591
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0674543{col 38}{space 2} .1464206{col 49}{space 1}   -0.46{col 58}{space 3}0.646{col 66}{space 4} -.356273{col 79}{space 3} .2213644
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.1689015{col 38}{space 2} .1520641{col 49}{space 1}   -1.11{col 58}{space 3}0.268{col 66}{space 4}-.4688523{col 79}{space 3} .1310493
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0495936{col 38}{space 2} .1467021{col 49}{space 1}   -0.34{col 58}{space 3}0.736{col 66}{space 4}-.3389677{col 79}{space 3} .2397805
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0524032{col 38}{space 2} .1549082{col 49}{space 1}   -0.34{col 58}{space 3}0.736{col 66}{space 4} -.357964{col 79}{space 3} .2531575
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0693898{col 38}{space 2} .1548894{col 49}{space 1}   -0.45{col 58}{space 3}0.655{col 66}{space 4}-.3749136{col 79}{space 3}  .236134
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.2355207{col 38}{space 2} .1728273{col 49}{space 1}   -1.36{col 58}{space 3}0.175{col 66}{space 4}-.5764274{col 79}{space 3}  .105386
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.1028894{col 38}{space 2} .1637465{col 49}{space 1}   -0.63{col 58}{space 3}0.531{col 66}{space 4} -.425884{col 79}{space 3} .2201051
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.3140665{col 38}{space 2} .1816007{col 49}{space 1}   -1.73{col 58}{space 3}0.085{col 66}{space 4}-.6722791{col 79}{space 3}  .044146
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.191411{col 38}{space 2} 2.339711{col 49}{space 1}    1.36{col 58}{space 3}0.174{col 66}{space 4}-1.423734{col 79}{space 3} 7.806556
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .83043811
                 {txt}sigma_e {c |} {res} .55694604
                     {txt}rho {c |} {res} .68975413{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "High"

{txt}added macro:
               e(CNTL) : "{res:High}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  EU ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1 & incquart<3, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:6.oplcat} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,622
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       316

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0580{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0041{col 63}{txt}avg{col 67}={col 69}{res}       5.1
{txt}     Overall = {res}0.0094{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(20,315)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1781{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:316} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      EU{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .0154535{col 38}{space 2} .1085031{col 49}{space 1}    0.14{col 58}{space 3}0.887{col 66}{space 4}-.1980289{col 79}{space 3} .2289359
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.3611623{col 38}{space 2} .1865544{col 49}{space 1}   -1.94{col 58}{space 3}0.054{col 66}{space 4}-.7282125{col 79}{space 3} .0058879
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.6171232{col 38}{space 2} .2030533{col 49}{space 1}   -3.04{col 58}{space 3}0.003{col 66}{space 4}-1.016635{col 79}{space 3} -.217611
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0105123{col 38}{space 2} .2790173{col 49}{space 1}    0.04{col 58}{space 3}0.970{col 66}{space 4}-.5384608{col 79}{space 3} .5594854
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.4721986{col 38}{space 2} .4007195{col 49}{space 1}   -1.18{col 58}{space 3}0.240{col 66}{space 4}-1.260624{col 79}{space 3} .3162264
{txt}{space 16}college  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0119262{col 38}{space 2} .0267734{col 49}{space 1}   -0.45{col 58}{space 3}0.656{col 66}{space 4}-.0646034{col 79}{space 3}  .040751
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.0037589{col 38}{space 2} .2234126{col 49}{space 1}   -0.02{col 58}{space 3}0.987{col 66}{space 4}-.4433285{col 79}{space 3} .4358108
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0213837{col 38}{space 2} .1086527{col 49}{space 1}   -0.20{col 58}{space 3}0.844{col 66}{space 4}-.2351605{col 79}{space 3} .1923931
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}  1.60504{col 38}{space 2} .1033296{col 49}{space 1}   15.53{col 58}{space 3}0.000{col 66}{space 4} 1.401736{col 79}{space 3} 1.808343
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} -.010998{col 38}{space 2} .1653255{col 49}{space 1}   -0.07{col 58}{space 3}0.947{col 66}{space 4}-.3362798{col 79}{space 3} .3142839
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0353439{col 38}{space 2} .1298494{col 49}{space 1}    0.27{col 58}{space 3}0.786{col 66}{space 4}-.2201378{col 79}{space 3} .2908256
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .0215857{col 38}{space 2} .1144033{col 49}{space 1}    0.19{col 58}{space 3}0.850{col 66}{space 4}-.2035055{col 79}{space 3} .2466768
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .2732656{col 38}{space 2} .1146853{col 49}{space 1}    2.38{col 58}{space 3}0.018{col 66}{space 4} .0476196{col 79}{space 3} .4989116
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .4340275{col 38}{space 2} .1095227{col 49}{space 1}    3.96{col 58}{space 3}0.000{col 66}{space 4} .2185391{col 79}{space 3}  .649516
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .4599806{col 38}{space 2} .1159237{col 49}{space 1}    3.97{col 58}{space 3}0.000{col 66}{space 4}  .231898{col 79}{space 3} .6880632
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .5369869{col 38}{space 2} .1177474{col 49}{space 1}    4.56{col 58}{space 3}0.000{col 66}{space 4} .3053163{col 79}{space 3} .7686576
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3752975{col 38}{space 2} .1262185{col 49}{space 1}    2.97{col 58}{space 3}0.003{col 66}{space 4} .1269596{col 79}{space 3} .6236354
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .5481356{col 38}{space 2} .1292152{col 49}{space 1}    4.24{col 58}{space 3}0.000{col 66}{space 4} .2939017{col 79}{space 3} .8023696
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}   .40561{col 38}{space 2} .1281256{col 49}{space 1}    3.17{col 58}{space 3}0.002{col 66}{space 4} .1535198{col 79}{space 3} .6577002
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .1149476{col 38}{space 2} .1369539{col 49}{space 1}    0.84{col 58}{space 3}0.402{col 66}{space 4}-.1545124{col 79}{space 3} .3844075
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3676848{col 38}{space 2} .1390949{col 49}{space 1}    2.64{col 58}{space 3}0.009{col 66}{space 4} .0940124{col 79}{space 3} .6413573
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}  .278464{col 38}{space 2} .1407316{col 49}{space 1}    1.98{col 58}{space 3}0.049{col 66}{space 4} .0015713{col 79}{space 3} .5553567
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.630106{col 38}{space 2}  .277413{col 49}{space 1}   13.09{col 58}{space 3}0.000{col 66}{space 4} 3.084289{col 79}{space 3} 4.175923
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .97965739
                 {txt}sigma_e {c |} {res}  .7395151
                     {txt}rho {c |} {res} .63701147{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Low"

{txt}added macro:
               e(CNTL) : "{res:Low}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  EU ATET  i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1 & incquart>2, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       763
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       188

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0596{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0006{col 63}{txt}avg{col 67}={col 69}{res}       4.1
{txt}     Overall = {res}0.0030{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(21,187)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.3516{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:188} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                      EU{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2} .1963113{col 38}{space 2} .1772045{col 49}{space 1}    1.11{col 58}{space 3}0.269{col 66}{space 4}-.1532656{col 79}{space 3} .5458882
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .3959375{col 38}{space 2} .3989146{col 49}{space 1}    0.99{col 58}{space 3}0.322{col 66}{space 4}-.3910136{col 79}{space 3} 1.182889
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .4130138{col 38}{space 2} .5269682{col 49}{space 1}    0.78{col 58}{space 3}0.434{col 66}{space 4}-.6265528{col 79}{space 3}  1.45258
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}-.7003304{col 38}{space 2} .5373578{col 49}{space 1}   -1.30{col 58}{space 3}0.194{col 66}{space 4}-1.760393{col 79}{space 3} .3597319
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} -.177103{col 38}{space 2} .4144128{col 49}{space 1}   -0.43{col 58}{space 3}0.670{col 66}{space 4} -.994628{col 79}{space 3} .6404219
{txt}{space 16}college  {c |}{col 26}{res}{space 2} -.099056{col 38}{space 2} .3817915{col 49}{space 1}   -0.26{col 58}{space 3}0.796{col 66}{space 4}-.8522279{col 79}{space 3} .6541159
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2} .6396782{col 38}{space 2} .2485216{col 49}{space 1}    2.57{col 58}{space 3}0.011{col 66}{space 4} .1494119{col 79}{space 3} 1.129945
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}-.1530581{col 38}{space 2} .1116405{col 49}{space 1}   -1.37{col 58}{space 3}0.172{col 66}{space 4}-.3732948{col 79}{space 3} .0671785
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1489874{col 38}{space 2} .2041884{col 49}{space 1}   -0.73{col 58}{space 3}0.467{col 66}{space 4}-.5517962{col 79}{space 3} .2538214
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} -.411681{col 38}{space 2} .2075298{col 49}{space 1}   -1.98{col 58}{space 3}0.049{col 66}{space 4}-.8210814{col 79}{space 3}-.0022805
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2}-.4917293{col 38}{space 2} .2062508{col 49}{space 1}   -2.38{col 58}{space 3}0.018{col 66}{space 4}-.8986067{col 79}{space 3}-.0848518
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.2359839{col 38}{space 2} .2094743{col 49}{space 1}   -1.13{col 58}{space 3}0.261{col 66}{space 4}-.6492203{col 79}{space 3} .1772525
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0134366{col 38}{space 2} .2328231{col 49}{space 1}    0.06{col 58}{space 3}0.954{col 66}{space 4}-.4458608{col 79}{space 3} .4727339
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0612775{col 38}{space 2} .2147055{col 49}{space 1}   -0.29{col 58}{space 3}0.776{col 66}{space 4}-.4848336{col 79}{space 3} .3622786
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0187359{col 38}{space 2} .2304608{col 49}{space 1}    0.08{col 58}{space 3}0.935{col 66}{space 4}-.4359013{col 79}{space 3} .4733732
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .2170963{col 38}{space 2} .2461512{col 49}{space 1}    0.88{col 58}{space 3}0.379{col 66}{space 4}-.2684939{col 79}{space 3} .7026864
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .1727763{col 38}{space 2} .2219753{col 49}{space 1}    0.78{col 58}{space 3}0.437{col 66}{space 4}-.2651213{col 79}{space 3} .6106739
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .1356687{col 38}{space 2} .2384196{col 49}{space 1}    0.57{col 58}{space 3}0.570{col 66}{space 4} -.334669{col 79}{space 3} .6060064
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .1159031{col 38}{space 2} .2268864{col 49}{space 1}    0.51{col 58}{space 3}0.610{col 66}{space 4}-.3316827{col 79}{space 3} .5634888
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0273005{col 38}{space 2} .2098833{col 49}{space 1}   -0.13{col 58}{space 3}0.897{col 66}{space 4}-.4413438{col 79}{space 3} .3867428
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0912602{col 38}{space 2} .2076235{col 49}{space 1}    0.44{col 58}{space 3}0.661{col 66}{space 4}-.3183251{col 79}{space 3} .5008455
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} -.017503{col 38}{space 2} .2160373{col 49}{space 1}   -0.08{col 58}{space 3}0.936{col 66}{space 4}-.4436864{col 79}{space 3} .4086805
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.717567{col 38}{space 2} 2.114357{col 49}{space 1}   -0.81{col 58}{space 3}0.418{col 66}{space 4}-5.888625{col 79}{space 3} 2.453491
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.1769928
                 {txt}sigma_e {c |} {res} .71619118
                     {txt}rho {c |} {res} .72978692{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "High"

{txt}added macro:
               e(CNTL) : "{res:High}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  leftright ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1 & incquart<3, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:6.oplcat} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,523
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       305

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0245{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0001{col 63}{txt}avg{col 67}={col 69}{res}       5.0
{txt}     Overall = {res}0.0008{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(20,304)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.2265{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:305} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}               leftright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.3787938{col 38}{space 2}  .209343{col 49}{space 1}   -1.81{col 58}{space 3}0.071{col 66}{space 4}-.7907386{col 79}{space 3} .0331509
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2} .4404092{col 38}{space 2} .4698685{col 49}{space 1}    0.94{col 58}{space 3}0.349{col 66}{space 4}-.4841973{col 79}{space 3} 1.365016
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} 1.143616{col 38}{space 2} .4760568{col 49}{space 1}    2.40{col 58}{space 3}0.017{col 66}{space 4} .2068325{col 79}{space 3}   2.0804
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2}  .975391{col 38}{space 2}  .673928{col 49}{space 1}    1.45{col 58}{space 3}0.149{col 66}{space 4}-.3507633{col 79}{space 3} 2.301545
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}  .793166{col 38}{space 2} .7866323{col 49}{space 1}    1.01{col 58}{space 3}0.314{col 66}{space 4}-.7547675{col 79}{space 3} 2.341099
{txt}{space 16}college  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}  .070727{col 38}{space 2} .0310545{col 49}{space 1}    2.28{col 58}{space 3}0.023{col 66}{space 4}  .009618{col 79}{space 3}  .131836
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .2088113{col 38}{space 2} .2446112{col 49}{space 1}    0.85{col 58}{space 3}0.394{col 66}{space 4}-.2725342{col 79}{space 3} .6901567
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.1148001{col 38}{space 2} .1578456{col 49}{space 1}   -0.73{col 58}{space 3}0.468{col 66}{space 4}-.4254084{col 79}{space 3} .1958082
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} 1.035099{col 38}{space 2} .1917095{col 49}{space 1}    5.40{col 58}{space 3}0.000{col 66}{space 4} .6578539{col 79}{space 3} 1.412345
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .3120278{col 38}{space 2} .2423823{col 49}{space 1}    1.29{col 58}{space 3}0.199{col 66}{space 4}-.1649317{col 79}{space 3} .7889872
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1210825{col 38}{space 2} .2047602{col 49}{space 1}    0.59{col 58}{space 3}0.555{col 66}{space 4}-.2818442{col 79}{space 3} .5240093
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .2531621{col 38}{space 2} .1579323{col 49}{space 1}    1.60{col 58}{space 3}0.110{col 66}{space 4}-.0576167{col 79}{space 3} .5639409
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .3188938{col 38}{space 2} .1620613{col 49}{space 1}    1.97{col 58}{space 3}0.050{col 66}{space 4}-.0000101{col 79}{space 3} .6377977
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .2837036{col 38}{space 2} .1619217{col 49}{space 1}    1.75{col 58}{space 3}0.081{col 66}{space 4}-.0349256{col 79}{space 3} .6023328
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2225806{col 38}{space 2} .1680267{col 49}{space 1}    1.32{col 58}{space 3}0.186{col 66}{space 4} -.108062{col 79}{space 3} .5532231
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .3259598{col 38}{space 2} .1516376{col 49}{space 1}    2.15{col 58}{space 3}0.032{col 66}{space 4} .0275676{col 79}{space 3} .6243521
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}  .363536{col 38}{space 2} .1741264{col 49}{space 1}    2.09{col 58}{space 3}0.038{col 66}{space 4} .0208903{col 79}{space 3} .7061817
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .2573339{col 38}{space 2} .1707408{col 49}{space 1}    1.51{col 58}{space 3}0.133{col 66}{space 4}-.0786495{col 79}{space 3} .5933173
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .3198449{col 38}{space 2} .1956599{col 49}{space 1}    1.63{col 58}{space 3}0.103{col 66}{space 4}-.0651743{col 79}{space 3}  .704864
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}  .223776{col 38}{space 2} .1969499{col 49}{space 1}    1.14{col 58}{space 3}0.257{col 66}{space 4}-.1637816{col 79}{space 3} .6113336
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}  .306132{col 38}{space 2} .2043319{col 49}{space 1}    1.50{col 58}{space 3}0.135{col 66}{space 4}-.0959519{col 79}{space 3} .7082159
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .5977041{col 38}{space 2}  .221728{col 49}{space 1}    2.70{col 58}{space 3}0.007{col 66}{space 4} .1613883{col 79}{space 3}  1.03402
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.616434{col 38}{space 2} .3731096{col 49}{space 1}    9.69{col 58}{space 3}0.000{col 66}{space 4}  2.88223{col 79}{space 3} 4.350639
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 1.9177212
                 {txt}sigma_e {c |} {res} 1.0834174
                     {txt}rho {c |} {res} .75805299{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est9{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Low"

{txt}added macro:
               e(CNTL) : "{res:Low}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  leftright ATET i.oplcat   lninc i.employ renter  i.year if include==1 & includenew==1 & incquart>2, fe vce(cluster panelidGWE)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       755
{txt}Group variable: {res}panelidGWE{txt}{col 49}Number of groups{col 67}={col 69}{res}       186

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0467{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0278{col 63}{txt}avg{col 67}={col 69}{res}       4.1
{txt}     Overall = {res}0.0107{col 63}{txt}max{col 67}={col 69}{res}        12

{col 49}{help j_robustsingular##|_new:F(21,185)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb) = {res}-0.1312{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 90:(Std. err. adjusted for {res:186} clusters in {res:panelidGWE})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}               leftright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.3527047{col 38}{space 2} .4269777{col 49}{space 1}   -0.83{col 58}{space 3}0.410{col 66}{space 4}-1.195076{col 79}{space 3} .4896668
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.1358976{col 38}{space 2} .4014208{col 49}{space 1}   -0.34{col 58}{space 3}0.735{col 66}{space 4}-.9278487{col 79}{space 3} .6560535
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-1.136714{col 38}{space 2} .3393684{col 49}{space 1}   -3.35{col 58}{space 3}0.001{col 66}{space 4}-1.806243{col 79}{space 3}-.4671841
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .1738418{col 38}{space 2} .3321567{col 49}{space 1}    0.52{col 58}{space 3}0.601{col 66}{space 4}-.4814601{col 79}{space 3} .8291437
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.1438828{col 38}{space 2} .3996006{col 49}{space 1}   -0.36{col 58}{space 3}0.719{col 66}{space 4}-.9322428{col 79}{space 3} .6444773
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .1849913{col 38}{space 2} .3929286{col 49}{space 1}    0.47{col 58}{space 3}0.638{col 66}{space 4}-.5902057{col 79}{space 3} .9601883
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.5977641{col 38}{space 2} .4094139{col 49}{space 1}   -1.46{col 58}{space 3}0.146{col 66}{space 4}-1.405484{col 79}{space 3} .2099563
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .2921727{col 38}{space 2} .3113247{col 49}{space 1}    0.94{col 58}{space 3}0.349{col 66}{space 4}-.3220304{col 79}{space 3} .9063759
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}  .373494{col 38}{space 2} .3595885{col 49}{space 1}    1.04{col 58}{space 3}0.300{col 66}{space 4}-.3359274{col 79}{space 3} 1.082915
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}  .447217{col 38}{space 2} .4362595{col 49}{space 1}    1.03{col 58}{space 3}0.307{col 66}{space 4}-.4134662{col 79}{space 3}   1.3079
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1233372{col 38}{space 2} .2317785{col 49}{space 1}    0.53{col 58}{space 3}0.595{col 66}{space 4}-.3339316{col 79}{space 3}  .580606
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .6588924{col 38}{space 2} .2433982{col 49}{space 1}    2.71{col 58}{space 3}0.007{col 66}{space 4} .1786993{col 79}{space 3} 1.139085
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .5106825{col 38}{space 2}  .246059{col 49}{space 1}    2.08{col 58}{space 3}0.039{col 66}{space 4} .0252402{col 79}{space 3} .9961248
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .6285052{col 38}{space 2} .2565988{col 49}{space 1}    2.45{col 58}{space 3}0.015{col 66}{space 4}  .122269{col 79}{space 3} 1.134741
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .6221378{col 38}{space 2} .2658558{col 49}{space 1}    2.34{col 58}{space 3}0.020{col 66}{space 4} .0976388{col 79}{space 3} 1.146637
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .6026472{col 38}{space 2} .2512224{col 49}{space 1}    2.40{col 58}{space 3}0.017{col 66}{space 4}  .107018{col 79}{space 3} 1.098276
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .7168796{col 38}{space 2} .2790802{col 49}{space 1}    2.57{col 58}{space 3}0.011{col 66}{space 4} .1662907{col 79}{space 3} 1.267469
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .5864643{col 38}{space 2} .2488386{col 49}{space 1}    2.36{col 58}{space 3}0.019{col 66}{space 4} .0955381{col 79}{space 3} 1.077391
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .7857254{col 38}{space 2} .3113511{col 49}{space 1}    2.52{col 58}{space 3}0.012{col 66}{space 4} .1714701{col 79}{space 3} 1.399981
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .7215864{col 38}{space 2} .3033426{col 49}{space 1}    2.38{col 58}{space 3}0.018{col 66}{space 4}  .123131{col 79}{space 3} 1.320042
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .5863199{col 38}{space 2} .3060467{col 49}{space 1}    1.92{col 58}{space 3}0.057{col 66}{space 4}-.0174704{col 79}{space 3}  1.19011
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .7054239{col 38}{space 2} .3333794{col 49}{space 1}    2.12{col 58}{space 3}0.036{col 66}{space 4} .0477097{col 79}{space 3} 1.363138
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 9.935858{col 38}{space 2} 3.500691{col 49}{space 1}    2.84{col 58}{space 3}0.005{col 66}{space 4} 3.029449{col 79}{space 3} 16.84227
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res}  1.969027
                 {txt}sigma_e {c |} {res} .89357139
                     {txt}rho {c |} {res} .82922393{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est10{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "High"

{txt}added macro:
               e(CNTL) : "{res:High}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    
. esttab using "regression3cInc.tex", replace f  ///
>  b(2) se(2) ///
>  keep(ATET ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of energy poverty on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must adapt" "Oppose EU Integration" "Left-Right" , pattern(1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Income" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression3cInc.tex"'})

{com}.  
.  * Appendix table with all observations, energy poverty
.  esttab using "regression3cappendixInc.tex", replace f  ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>   title(Effect of energy poverty on support for radical right after reform \label{c -(}reg1{c )-}) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>  mgroups("Sympathy Green Left" "Price Increases Priority" "Immigrants Must adapt" "Oppose EU Integration" "Left-Right" , pattern(1 0 1 0 1 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Income" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression3cappendixInc.tex"'})

{com}.  
. 
.  
.  
. 
.   *Using estout package for LatexTables           
. est clear
{res}{txt}
{com}.   xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET  i.year if include==1 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     8448
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1702

{txt}R-sq:  Within  = {res}0.0111                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0007                                        {txt}avg = {res}      5.0
{txt}       Overall = {res}0.0043                                        {txt}max = {res}       12

                                                {txt}F({res}12{txt},{res}1701{txt})         = {res}     4.40
{txt}corr(u_i, Xb)  = {res}0.0021                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,702} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0008421{col 26}{space 2} .0159672{col 37}{space 1}   -0.05{col 46}{space 3}0.958{col 54}{space 4}-.0321596{col 67}{space 3} .0304753
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0206939{col 26}{space 2} .0150085{col 37}{space 1}   -1.38{col 46}{space 3}0.168{col 54}{space 4}-.0501309{col 67}{space 3} .0087431
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} -.035452{col 26}{space 2} .0164361{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4}-.0676891{col 67}{space 3}-.0032148
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0469227{col 26}{space 2} .0162613{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4} -.078817{col 67}{space 3}-.0150284
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0553306{col 26}{space 2} .0166995{col 37}{space 1}   -3.31{col 46}{space 3}0.001{col 54}{space 4}-.0880843{col 67}{space 3} -.022577
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0393314{col 26}{space 2} .0167839{col 37}{space 1}   -2.34{col 46}{space 3}0.019{col 54}{space 4}-.0722506{col 67}{space 3}-.0064121
{txt}{space 7}2015  {c |}{col 14}{res}{space 2}-.0235412{col 26}{space 2}   .01676{col 37}{space 1}   -1.40{col 46}{space 3}0.160{col 54}{space 4}-.0564135{col 67}{space 3} .0093311
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0168656{col 26}{space 2} .0180091{col 37}{space 1}   -0.94{col 46}{space 3}0.349{col 54}{space 4}-.0521879{col 67}{space 3} .0184566
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0152223{col 26}{space 2} .0182991{col 37}{space 1}   -0.83{col 46}{space 3}0.406{col 54}{space 4}-.0511134{col 67}{space 3} .0206687
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .0261808{col 26}{space 2} .0186431{col 37}{space 1}    1.40{col 46}{space 3}0.160{col 54}{space 4} -.010385{col 67}{space 3} .0627466
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0064343{col 26}{space 2} .0179861{col 37}{space 1}   -0.36{col 46}{space 3}0.721{col 54}{space 4}-.0417115{col 67}{space 3} .0288429
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0332679{col 26}{space 2} .0186927{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.0699309{col 67}{space 3} .0033951
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  .148121{col 26}{space 2} .0142644{col 37}{space 1}   10.38{col 46}{space 3}0.000{col 54}{space 4} .1201434{col 67}{space 3} .1760986
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .28304523
     {txt}sigma_e {c |} {res} .20375968
         {txt}rho {c |} {res} .65866054{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est1{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  extremeright ATET i.oplcat   lninc i.employ renter  i.year if include==1, fe vce(cluster nomem_encr)
{txt}note: renter omitted because of collinearity

Fixed-effects (within) regression               Number of obs      = {res}     7912
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1615

{txt}R-sq:  Within  = {res}0.0158                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0042                                        {txt}avg = {res}      4.9
{txt}       Overall = {res}0.0022                                        {txt}max = {res}       12

                                                {txt}F({res}23{txt},{res}1614{txt})         = {res}     2.63
{txt}corr(u_i, Xb)  = {res}-0.2640                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,615} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0093629{col 38}{space 2} .0166553{col 49}{space 1}   -0.56{col 58}{space 3}0.574{col 66}{space 4}-.0420312{col 79}{space 3} .0233054
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0778991{col 38}{space 2} .0448206{col 49}{space 1}   -1.74{col 58}{space 3}0.082{col 66}{space 4}-.1658118{col 79}{space 3} .0100136
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0456647{col 38}{space 2} .0330068{col 49}{space 1}    1.38{col 58}{space 3}0.167{col 66}{space 4}-.0190759{col 79}{space 3} .1104053
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0615047{col 38}{space 2} .0543995{col 49}{space 1}    1.13{col 58}{space 3}0.258{col 66}{space 4}-.0451965{col 79}{space 3} .1682058
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0706473{col 38}{space 2} .0420985{col 49}{space 1}    1.68{col 58}{space 3}0.094{col 66}{space 4}-.0119263{col 79}{space 3} .1532208
{txt}{space 16}college  {c |}{col 26}{res}{space 2}  .027538{col 38}{space 2} .0490741{col 49}{space 1}    0.56{col 58}{space 3}0.575{col 66}{space 4}-.0687177{col 79}{space 3} .1237938
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0044224{col 38}{space 2} .0069615{col 49}{space 1}   -0.64{col 58}{space 3}0.525{col 66}{space 4}-.0180769{col 79}{space 3} .0092321
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .0503948{col 38}{space 2} .0284481{col 49}{space 1}    1.77{col 58}{space 3}0.077{col 66}{space 4}-.0054044{col 79}{space 3}  .106194
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0032495{col 38}{space 2} .0188024{col 49}{space 1}   -0.17{col 58}{space 3}0.863{col 66}{space 4}-.0401292{col 79}{space 3} .0336302
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0007921{col 38}{space 2} .0151024{col 49}{space 1}    0.05{col 58}{space 3}0.958{col 66}{space 4}-.0288304{col 79}{space 3} .0304145
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0379308{col 38}{space 2} .0206889{col 49}{space 1}    1.83{col 58}{space 3}0.067{col 66}{space 4}-.0026492{col 79}{space 3} .0785107
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0059854{col 38}{space 2} .0163116{col 49}{space 1}    0.37{col 58}{space 3}0.714{col 66}{space 4}-.0260088{col 79}{space 3} .0379796
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} -.018713{col 38}{space 2} .0153913{col 49}{space 1}   -1.22{col 58}{space 3}0.224{col 66}{space 4}-.0489021{col 79}{space 3} .0114761
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0382756{col 38}{space 2} .0166686{col 49}{space 1}   -2.30{col 58}{space 3}0.022{col 66}{space 4}  -.07097{col 79}{space 3}-.0055812
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0504703{col 38}{space 2} .0163043{col 49}{space 1}   -3.10{col 58}{space 3}0.002{col 66}{space 4}-.0824501{col 79}{space 3}-.0184905
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0538278{col 38}{space 2} .0168383{col 49}{space 1}   -3.20{col 58}{space 3}0.001{col 66}{space 4}-.0868549{col 79}{space 3}-.0208006
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0421695{col 38}{space 2} .0167978{col 49}{space 1}   -2.51{col 58}{space 3}0.012{col 66}{space 4}-.0751174{col 79}{space 3}-.0092216
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0226403{col 38}{space 2} .0168785{col 49}{space 1}   -1.34{col 58}{space 3}0.180{col 66}{space 4}-.0557464{col 79}{space 3} .0104659
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} -.012607{col 38}{space 2} .0182488{col 49}{space 1}   -0.69{col 58}{space 3}0.490{col 66}{space 4}-.0484009{col 79}{space 3} .0231869
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0135455{col 38}{space 2}  .018945{col 49}{space 1}   -0.71{col 58}{space 3}0.475{col 66}{space 4}-.0507048{col 79}{space 3} .0236139
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0283697{col 38}{space 2}  .019119{col 49}{space 1}    1.48{col 58}{space 3}0.138{col 66}{space 4} -.009131{col 79}{space 3} .0658704
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0060803{col 38}{space 2} .0190868{col 49}{space 1}   -0.32{col 58}{space 3}0.750{col 66}{space 4}-.0435178{col 79}{space 3} .0313572
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0314773{col 38}{space 2} .0196242{col 49}{space 1}   -1.60{col 58}{space 3}0.109{col 66}{space 4}-.0699689{col 79}{space 3} .0070142
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1439524{col 38}{space 2} .0593647{col 49}{space 1}    2.42{col 58}{space 3}0.015{col 66}{space 4} .0275124{col 79}{space 3} .2603924
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .28755619
                 {txt}sigma_e {c |} {res} .20047557
                     {txt}rho {c |} {res} .67292664{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est2{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  extremeright  ATET ownservice i.year if include2==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     8,454
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,706

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0112{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0002{col 63}{txt}avg{col 67}={col 69}{res}       5.0
{txt}     Overall = {res}0.0036{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}13{txt},{res}1705{txt}){col 67}={col 70}{res}     4.06
{txt}corr(u_i, Xb) = {res}-0.0060{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,706} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}extremeright{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0030338{col 26}{space 2} .0172228{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4}-.0368139{col 67}{space 3} .0307463
{txt}{space 2}ownservice {c |}{col 14}{res}{space 2} .0100002{col 26}{space 2} .0226981{col 37}{space 1}    0.44{col 46}{space 3}0.660{col 54}{space 4}-.0345188{col 67}{space 3} .0545193
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2}-.0207661{col 26}{space 2} .0150152{col 37}{space 1}   -1.38{col 46}{space 3}0.167{col 54}{space 4}-.0502162{col 67}{space 3} .0086841
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0355725{col 26}{space 2} .0164378{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4}-.0678129{col 67}{space 3}-.0033321
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.0470332{col 26}{space 2} .0162729{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-.0789502{col 67}{space 3}-.0151163
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.0554385{col 26}{space 2} .0167131{col 37}{space 1}   -3.32{col 46}{space 3}0.001{col 54}{space 4}-.0882189{col 67}{space 3}-.0226581
{txt}{space 7}2013  {c |}{col 14}{res}{space 2}-.0394576{col 26}{space 2} .0168056{col 37}{space 1}   -2.35{col 46}{space 3}0.019{col 54}{space 4}-.0724194{col 67}{space 3}-.0064957
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} -.023084{col 26}{space 2} .0168194{col 37}{space 1}   -1.37{col 46}{space 3}0.170{col 54}{space 4}-.0560728{col 67}{space 3} .0099047
{txt}{space 7}2016  {c |}{col 14}{res}{space 2}-.0164406{col 26}{space 2} .0180753{col 37}{space 1}   -0.91{col 46}{space 3}0.363{col 54}{space 4}-.0518928{col 67}{space 3} .0190115
{txt}{space 7}2017  {c |}{col 14}{res}{space 2}-.0148762{col 26}{space 2} .0183467{col 37}{space 1}   -0.81{col 46}{space 3}0.418{col 54}{space 4}-.0508606{col 67}{space 3} .0211082
{txt}{space 7}2018  {c |}{col 14}{res}{space 2}  .026475{col 26}{space 2} .0186885{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0101798{col 67}{space 3} .0631299
{txt}{space 7}2019  {c |}{col 14}{res}{space 2}-.0060732{col 26}{space 2} .0180298{col 37}{space 1}   -0.34{col 46}{space 3}0.736{col 54}{space 4}-.0414361{col 67}{space 3} .0292897
{txt}{space 7}2020  {c |}{col 14}{res}{space 2}-.0329486{col 26}{space 2} .0186929{col 37}{space 1}   -1.76{col 46}{space 3}0.078{col 54}{space 4} -.069612{col 67}{space 3} .0037149
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1458656{col 26}{space 2} .0150689{col 37}{space 1}    9.68{col 46}{space 3}0.000{col 54}{space 4} .1163101{col 67}{space 3}  .175421
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .28295924
     {txt}sigma_e {c |} {res} .20374161
         {txt}rho {c |} {res}  .6585638{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est3{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  extremeright ATET ownservice i.oplcat   lninc i.employ renter i.year if include2==1 , fe vce(cluster nomem_encr)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     7,918
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,619

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0159{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0049{col 63}{txt}avg{col 67}={col 69}{res}       4.9
{txt}     Overall = {res}0.0025{col 63}{txt}max{col 67}={col 69}{res}        12

{txt}{col 49}F({res}24{txt},{res}1618{txt}){col 67}={col 70}{res}     2.52
{txt}corr(u_i, Xb) = {res}-0.2678{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0001

{txt}{ralign 90:(Std. err. adjusted for {res:1,619} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            extremeright{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0124318{col 38}{space 2} .0177873{col 49}{space 1}   -0.70{col 58}{space 3}0.485{col 66}{space 4}-.0473203{col 79}{space 3} .0224567
{txt}{space 14}ownservice {c |}{col 26}{res}{space 2} .0138092{col 38}{space 2}  .021401{col 49}{space 1}    0.65{col 58}{space 3}0.519{col 66}{space 4}-.0281674{col 79}{space 3} .0557859
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.0774165{col 38}{space 2} .0450045{col 49}{space 1}   -1.72{col 58}{space 3}0.086{col 66}{space 4}-.1656898{col 79}{space 3} .0108568
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2} .0455799{col 38}{space 2} .0331088{col 49}{space 1}    1.38{col 58}{space 3}0.169{col 66}{space 4}-.0193607{col 79}{space 3} .1105204
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .0614034{col 38}{space 2} .0545064{col 49}{space 1}    1.13{col 58}{space 3}0.260{col 66}{space 4}-.0455071{col 79}{space 3} .1683139
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} .0714518{col 38}{space 2} .0421582{col 49}{space 1}    1.69{col 58}{space 3}0.090{col 66}{space 4}-.0112385{col 79}{space 3} .1541422
{txt}{space 16}college  {c |}{col 26}{res}{space 2} .0282286{col 38}{space 2} .0491596{col 49}{space 1}    0.57{col 58}{space 3}0.566{col 66}{space 4}-.0681946{col 79}{space 3} .1246519
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0043279{col 38}{space 2} .0069628{col 49}{space 1}   -0.62{col 58}{space 3}0.534{col 66}{space 4} -.017985{col 79}{space 3} .0093293
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2}  .050449{col 38}{space 2} .0285075{col 49}{space 1}    1.77{col 58}{space 3}0.077{col 66}{space 4}-.0054666{col 79}{space 3} .1063646
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}-.0033739{col 38}{space 2} .0187883{col 49}{space 1}   -0.18{col 58}{space 3}0.858{col 66}{space 4}-.0402259{col 79}{space 3} .0334781
{txt}{space 16}Student  {c |}{col 26}{res}{space 2} .0009358{col 38}{space 2} .0151574{col 49}{space 1}    0.06{col 58}{space 3}0.951{col 66}{space 4}-.0287943{col 79}{space 3}  .030666
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .0378206{col 38}{space 2} .0206843{col 49}{space 1}    1.83{col 58}{space 3}0.068{col 66}{space 4}-.0027503{col 79}{space 3} .0783914
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .0055104{col 38}{space 2} .0163108{col 49}{space 1}    0.34{col 58}{space 3}0.736{col 66}{space 4}-.0264821{col 79}{space 3}  .037503
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2}-.0188289{col 38}{space 2} .0153908{col 49}{space 1}   -1.22{col 58}{space 3}0.221{col 66}{space 4}-.0490169{col 79}{space 3} .0113592
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0384534{col 38}{space 2} .0166756{col 49}{space 1}   -2.31{col 58}{space 3}0.021{col 66}{space 4}-.0711614{col 79}{space 3}-.0057454
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0506384{col 38}{space 2} .0163093{col 49}{space 1}   -3.10{col 58}{space 3}0.002{col 66}{space 4} -.082628{col 79}{space 3}-.0186488
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0539981{col 38}{space 2} .0168404{col 49}{space 1}   -3.21{col 58}{space 3}0.001{col 66}{space 4}-.0870294{col 79}{space 3}-.0209668
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0423711{col 38}{space 2} .0168033{col 49}{space 1}   -2.52{col 58}{space 3}0.012{col 66}{space 4}-.0753296{col 79}{space 3}-.0094126
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0220082{col 38}{space 2} .0169592{col 49}{space 1}   -1.30{col 58}{space 3}0.195{col 66}{space 4}-.0552724{col 79}{space 3}  .011256
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0120064{col 38}{space 2} .0183464{col 49}{space 1}   -0.65{col 58}{space 3}0.513{col 66}{space 4}-.0479916{col 79}{space 3} .0239789
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0130704{col 38}{space 2} .0189864{col 49}{space 1}   -0.69{col 58}{space 3}0.491{col 66}{space 4} -.050311{col 79}{space 3} .0241702
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0287994{col 38}{space 2}  .019197{col 49}{space 1}    1.50{col 58}{space 3}0.134{col 66}{space 4}-.0088541{col 79}{space 3}  .066453
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0055601{col 38}{space 2} .0191538{col 49}{space 1}   -0.29{col 58}{space 3}0.772{col 66}{space 4}-.0431291{col 79}{space 3} .0320088
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.0310344{col 38}{space 2} .0196441{col 49}{space 1}   -1.58{col 58}{space 3}0.114{col 66}{space 4} -.069565{col 79}{space 3} .0074962
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1398107{col 38}{space 2} .0596239{col 49}{space 1}    2.34{col 58}{space 3}0.019{col 66}{space 4} .0228625{col 79}{space 3}  .256759
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} .28752935
                 {txt}sigma_e {c |} {res} .20045342
                     {txt}rho {c |} {res} .67293417{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est4{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. 
.    xtset panelidGWE year
{res}
{col 1}{txt:Panel variable: }{res:panelidGWE}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET  i.year if include==1 , fe vce(cluster nomem_encr)

{txt}Fixed-effects (within) regression               Number of obs      = {res}     8903
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1772

{txt}R-sq:  Within  = {res}0.0124                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0014                                        {txt}avg = {res}      5.0
{txt}       Overall = {res}0.0020                                        {txt}max = {res}       11

                                                {txt}F({res}11{txt},{res}1771{txt})         = {res}     7.93
{txt}corr(u_i, Xb)  = {res}-0.0046                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,772} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0463928{col 26}{space 2} .1156385{col 37}{space 1}   -0.40{col 46}{space 3}0.688{col 54}{space 4}-.2731952{col 67}{space 3} .1804096
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1323922{col 26}{space 2} .1014757{col 37}{space 1}    1.30{col 46}{space 3}0.192{col 54}{space 4}-.0666326{col 67}{space 3}  .331417
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .6135537{col 26}{space 2} .1056569{col 37}{space 1}    5.81{col 46}{space 3}0.000{col 54}{space 4} .4063284{col 67}{space 3}  .820779
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .3225804{col 26}{space 2} .1092407{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .1083262{col 67}{space 3} .5368347
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .5249559{col 26}{space 2} .1138381{col 37}{space 1}    4.61{col 46}{space 3}0.000{col 54}{space 4} .3016847{col 67}{space 3} .7482272
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .3498155{col 26}{space 2} .1233098{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .1079674{col 67}{space 3} .5916636
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .4243779{col 26}{space 2} .1272194{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4} .1748619{col 67}{space 3}  .673894
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .1474642{col 26}{space 2}   .12765{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4}-.1028964{col 67}{space 3} .3978247
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .4625819{col 26}{space 2} .1268153{col 37}{space 1}    3.65{col 46}{space 3}0.000{col 54}{space 4} .2138584{col 67}{space 3} .7113053
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .4038461{col 26}{space 2} .1278142{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .1531635{col 67}{space 3} .6545286
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .3717193{col 26}{space 2} .1312991{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .1142018{col 67}{space 3} .6292369
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.615553{col 26}{space 2} .0978734{col 37}{space 1}  -26.72{col 46}{space 3}0.000{col 54}{space 4}-2.807512{col 67}{space 3}-2.423593
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.9960703
     {txt}sigma_e {c |} {res} 1.4475704
         {txt}rho {c |} {res} .81074065{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est5{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. eststo: xtreg  PVVsympmean ATET i.oplcat   lninc i.employ renter  i.year if include==1 , fe vce(cluster nomem_encr)
{txt}note: renter omitted because of collinearity

Fixed-effects (within) regression               Number of obs      = {res}     8319
{txt}Group variable: {res}panelidGWE                      {txt}Number of groups   = {res}     1678

{txt}R-sq:  Within  = {res}0.0169                         {txt}Obs per group: min = {res}        1
{txt}       Between = {res}0.0279                                        {txt}avg = {res}      5.0
{txt}       Overall = {res}0.0272                                        {txt}max = {res}       11

                                                {txt}F({res}22{txt},{res}1677{txt})         = {res}     5.04
{txt}corr(u_i, Xb)  = {res}0.0368                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,678} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0845412{col 38}{space 2} .1185268{col 49}{space 1}   -0.71{col 58}{space 3}0.476{col 66}{space 4}-.3170173{col 79}{space 3} .1479349
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.3636139{col 38}{space 2} .4031611{col 49}{space 1}   -0.90{col 58}{space 3}0.367{col 66}{space 4}-1.154366{col 79}{space 3}  .427138
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.2603026{col 38}{space 2} .7505992{col 49}{space 1}   -0.35{col 58}{space 3}0.729{col 66}{space 4}-1.732513{col 79}{space 3} 1.211907
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .2405407{col 38}{space 2} .4529061{col 49}{space 1}    0.53{col 58}{space 3}0.595{col 66}{space 4}-.6477801{col 79}{space 3} 1.128861
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2} -.020344{col 38}{space 2}  .485066{col 49}{space 1}   -0.04{col 58}{space 3}0.967{col 66}{space 4}-.9717425{col 79}{space 3} .9310544
{txt}{space 16}college  {c |}{col 26}{res}{space 2}-.9395989{col 38}{space 2} .6386581{col 49}{space 1}   -1.47{col 58}{space 3}0.141{col 66}{space 4} -2.19225{col 79}{space 3} .3130521
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0570552{col 38}{space 2} .0534282{col 49}{space 1}   -1.07{col 58}{space 3}0.286{col 66}{space 4}-.1618481{col 79}{space 3} .0477377
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .2848547{col 38}{space 2} .1759337{col 49}{space 1}    1.62{col 58}{space 3}0.106{col 66}{space 4}-.0602181{col 79}{space 3} .6299275
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2} .1356851{col 38}{space 2} .1521889{col 49}{space 1}    0.89{col 58}{space 3}0.373{col 66}{space 4} -.162815{col 79}{space 3} .4341852
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0405974{col 38}{space 2} .4223035{col 49}{space 1}   -0.10{col 58}{space 3}0.923{col 66}{space 4}-.8688949{col 79}{space 3}    .7877
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2} .3368421{col 38}{space 2} .2240163{col 49}{space 1}    1.50{col 58}{space 3}0.133{col 66}{space 4}-.1025389{col 79}{space 3} .7762232
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1976969{col 38}{space 2} .1412048{col 49}{space 1}    1.40{col 58}{space 3}0.162{col 66}{space 4}-.0792594{col 79}{space 3} .4746531
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1402441{col 38}{space 2} .1035847{col 49}{space 1}    1.35{col 58}{space 3}0.176{col 66}{space 4}-.0629247{col 79}{space 3}  .343413
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .6068315{col 38}{space 2} .1062298{col 49}{space 1}    5.71{col 58}{space 3}0.000{col 66}{space 4} .3984745{col 79}{space 3} .8151885
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .3008689{col 38}{space 2} .1140464{col 49}{space 1}    2.64{col 58}{space 3}0.008{col 66}{space 4} .0771806{col 79}{space 3} .5245573
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .5379204{col 38}{space 2} .1183726{col 49}{space 1}    4.54{col 58}{space 3}0.000{col 66}{space 4} .3057468{col 79}{space 3}  .770094
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3417861{col 38}{space 2} .1288751{col 49}{space 1}    2.65{col 58}{space 3}0.008{col 66}{space 4}  .089013{col 79}{space 3} .5945591
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}  .422995{col 38}{space 2} .1336584{col 49}{space 1}    3.16{col 58}{space 3}0.002{col 66}{space 4} .1608402{col 79}{space 3} .6851499
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .1465146{col 38}{space 2} .1341995{col 49}{space 1}    1.09{col 58}{space 3}0.275{col 66}{space 4}-.1167015{col 79}{space 3} .4097307
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4852787{col 38}{space 2} .1349734{col 49}{space 1}    3.60{col 58}{space 3}0.000{col 66}{space 4} .2205447{col 79}{space 3} .7500127
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3760489{col 38}{space 2} .1345862{col 49}{space 1}    2.79{col 58}{space 3}0.005{col 66}{space 4} .1120743{col 79}{space 3} .6400234
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .3521559{col 38}{space 2} .1409475{col 49}{space 1}    2.50{col 58}{space 3}0.013{col 66}{space 4} .0757043{col 79}{space 3} .6286075
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.154732{col 38}{space 2} .5912822{col 49}{space 1}   -3.64{col 58}{space 3}0.000{col 66}{space 4}-3.314461{col 79}{space 3} -.995003
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.9316232
                 {txt}sigma_e {c |} {res} 1.4427994
                     {txt}rho {c |} {res} .80501559{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est6{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.  estadd local  TV  "No"

{txt}added macro:
                 e(TV) : "{res:No}"

{com}.  
. xtset nomem_encr year
{res}
{col 1}{txt:Panel variable: }{res:nomem_encr}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2008}}{txt: to }{res:{bind:2020}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. eststo: xtreg  PVVsympmean  ATET ownservice i.year if include2==1 , fe vce(cluster nomem_encr)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     8,912
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,777

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0125{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0005{col 63}{txt}avg{col 67}={col 69}{res}       5.0
{txt}     Overall = {res}0.0013{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}12{txt},{res}1776{txt}){col 67}={col 70}{res}     7.29
{txt}corr(u_i, Xb) = {res}-0.0140{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. err. adjusted for {res:1,777} clusters in {res:nomem_encr})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} PVVsympmean{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ATET {c |}{col 14}{res}{space 2}-.0638565{col 26}{space 2} .1251711{col 37}{space 1}   -0.51{col 46}{space 3}0.610{col 54}{space 4}-.3093547{col 67}{space 3} .1816417
{txt}{space 2}ownservice {c |}{col 14}{res}{space 2} .0761123{col 26}{space 2} .1941167{col 37}{space 1}    0.39{col 46}{space 3}0.695{col 54}{space 4}-.3046089{col 67}{space 3} .4568334
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2009  {c |}{col 14}{res}{space 2} .1319092{col 26}{space 2} .1014851{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.0671335{col 67}{space 3} .3309519
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .6128871{col 26}{space 2} .1056629{col 37}{space 1}    5.80{col 46}{space 3}0.000{col 54}{space 4} .4056503{col 67}{space 3} .8201238
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .3215321{col 26}{space 2} .1092403{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} .1072789{col 67}{space 3} .5357852
{txt}{space 7}2013  {c |}{col 14}{res}{space 2} .5237482{col 26}{space 2}  .113807{col 37}{space 1}    4.60{col 46}{space 3}0.000{col 54}{space 4} .3005386{col 67}{space 3} .7469579
{txt}{space 7}2015  {c |}{col 14}{res}{space 2} .3531434{col 26}{space 2} .1236671{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4}  .110595{col 67}{space 3} .5956917
{txt}{space 7}2016  {c |}{col 14}{res}{space 2} .4276639{col 26}{space 2} .1275181{col 37}{space 1}    3.35{col 46}{space 3}0.001{col 54}{space 4} .1775627{col 67}{space 3} .6777652
{txt}{space 7}2017  {c |}{col 14}{res}{space 2} .1500243{col 26}{space 2} .1279587{col 37}{space 1}    1.17{col 46}{space 3}0.241{col 54}{space 4}-.1009412{col 67}{space 3} .4009897
{txt}{space 7}2018  {c |}{col 14}{res}{space 2} .4658552{col 26}{space 2}  .127129{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4}  .216517{col 67}{space 3} .7151934
{txt}{space 7}2019  {c |}{col 14}{res}{space 2} .4066051{col 26}{space 2} .1280633{col 37}{space 1}    3.18{col 46}{space 3}0.002{col 54}{space 4} .1554346{col 67}{space 3} .6577757
{txt}{space 7}2020  {c |}{col 14}{res}{space 2} .3727652{col 26}{space 2} .1313702{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .1151087{col 67}{space 3} .6304217
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.634435{col 26}{space 2} .1064723{col 37}{space 1}  -24.74{col 46}{space 3}0.000{col 54}{space 4}-2.843259{col 67}{space 3}-2.425611
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.9978778
     {txt}sigma_e {c |} {res} 1.4473296
         {txt}rho {c |} {res} .81097668{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
({res}est7{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "No"

{txt}added macro:
               e(CNTL) : "{res:No}"

{com}.   estadd local  TV  "Yes"

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}. eststo: xtreg  PVVsympmean ATET ownservice i.oplcat   lninc i.employ renter i.year if include2==1 , fe vce(cluster nomem_encr)
{txt}{p 0 6 2}note: {bf:renter} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     8,328
{txt}Group variable: {res}nomem_encr{txt}{col 49}Number of groups{col 67}={col 69}{res}     1,683

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0170{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     Between = {res}0.0278{col 63}{txt}avg{col 67}={col 69}{res}       4.9
{txt}     Overall = {res}0.0268{col 63}{txt}max{col 67}={col 69}{res}        11

{txt}{col 49}F({res}23{txt},{res}1682{txt}){col 67}={col 70}{res}     4.83
{txt}corr(u_i, Xb) = {res}0.0356{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 90:(Std. err. adjusted for {res:1,683} clusters in {res:nomem_encr})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}             PVVsympmean{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}ATET {c |}{col 26}{res}{space 2}-.0919298{col 38}{space 2} .1277368{col 49}{space 1}   -0.72{col 58}{space 3}0.472{col 66}{space 4}-.3424697{col 79}{space 3} .1586101
{txt}{space 14}ownservice {c |}{col 26}{res}{space 2}   .03232{col 38}{space 2} .2057597{col 49}{space 1}    0.16{col 58}{space 3}0.875{col 66}{space 4}-.3712519{col 79}{space 3} .4358919
{txt}{space 24} {c |}
{space 18}oplcat {c |}
{space 5}junior high (vmbo)  {c |}{col 26}{res}{space 2}-.3624393{col 38}{space 2}  .403195{col 49}{space 1}   -0.90{col 58}{space 3}0.369{col 66}{space 4}-1.153256{col 79}{space 3} .4283774
{txt}{space 10}have/vwo (HS)  {c |}{col 26}{res}{space 2}-.2597136{col 38}{space 2}  .750373{col 49}{space 1}   -0.35{col 58}{space 3}0.729{col 66}{space 4}-1.731477{col 79}{space 3}  1.21205
{txt}{space 7}mbo (vocational)  {c |}{col 26}{res}{space 2} .2408682{col 38}{space 2} .4530753{col 49}{space 1}    0.53{col 58}{space 3}0.595{col 66}{space 4}-.6477825{col 79}{space 3} 1.129519
{txt}hbo (higher vocational)  {c |}{col 26}{res}{space 2}-.0179853{col 38}{space 2} .4857829{col 49}{space 1}   -0.04{col 58}{space 3}0.970{col 66}{space 4}-.9707878{col 79}{space 3} .9348173
{txt}{space 16}college  {c |}{col 26}{res}{space 2} -.937796{col 38}{space 2} .6392035{col 49}{space 1}   -1.47{col 58}{space 3}0.143{col 66}{space 4}-2.191514{col 79}{space 3} .3159221
{txt}{space 24} {c |}
{space 19}lninc {c |}{col 26}{res}{space 2}-.0567904{col 38}{space 2} .0533784{col 49}{space 1}   -1.06{col 58}{space 3}0.288{col 66}{space 4}-.1614854{col 79}{space 3} .0479046
{txt}{space 24} {c |}
{space 18}employ {c |}
{space 10}Self-employed  {c |}{col 26}{res}{space 2} .2857604{col 38}{space 2} .1758053{col 49}{space 1}    1.63{col 58}{space 3}0.104{col 66}{space 4}-.0590597{col 79}{space 3} .6305806
{txt}{space 2}Unemployed/disability  {c |}{col 26}{res}{space 2}  .135732{col 38}{space 2} .1521693{col 49}{space 1}    0.89{col 58}{space 3}0.373{col 66}{space 4}-.1627292{col 79}{space 3} .4341931
{txt}{space 16}Student  {c |}{col 26}{res}{space 2}-.0427068{col 38}{space 2} .4236778{col 49}{space 1}   -0.10{col 58}{space 3}0.920{col 66}{space 4}-.8736981{col 79}{space 3} .7882844
{txt}{space 12}Housekeeper  {c |}{col 26}{res}{space 2}  .336913{col 38}{space 2} .2240137{col 49}{space 1}    1.50{col 58}{space 3}0.133{col 66}{space 4} -.102462{col 79}{space 3}  .776288
{txt}{space 14}Pensioner  {c |}{col 26}{res}{space 2} .1972918{col 38}{space 2} .1415891{col 49}{space 1}    1.39{col 58}{space 3}0.164{col 66}{space 4}-.0804174{col 79}{space 3} .4750011
{txt}{space 24} {c |}
{space 18}renter {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 20}year {c |}
{space 19}2009  {c |}{col 26}{res}{space 2} .1399276{col 38}{space 2} .1035851{col 49}{space 1}    1.35{col 58}{space 3}0.177{col 66}{space 4}-.0632416{col 79}{space 3} .3430968
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .6064207{col 38}{space 2} .1062255{col 49}{space 1}    5.71{col 58}{space 3}0.000{col 66}{space 4} .3980725{col 79}{space 3} .8147689
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .3002984{col 38}{space 2} .1140186{col 49}{space 1}    2.63{col 58}{space 3}0.009{col 66}{space 4} .0766652{col 79}{space 3} .5239316
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .5372757{col 38}{space 2} .1182608{col 49}{space 1}    4.54{col 58}{space 3}0.000{col 66}{space 4}  .305322{col 79}{space 3} .7692295
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .3430453{col 38}{space 2} .1293925{col 49}{space 1}    2.65{col 58}{space 3}0.008{col 66}{space 4}  .089258{col 79}{space 3} .5968325
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .4242457{col 38}{space 2}  .134097{col 49}{space 1}    3.16{col 58}{space 3}0.002{col 66}{space 4} .1612311{col 79}{space 3} .6872603
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .1474164{col 38}{space 2} .1345642{col 49}{space 1}    1.10{col 58}{space 3}0.273{col 66}{space 4}-.1165144{col 79}{space 3} .4113472
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .4869495{col 38}{space 2} .1354278{col 49}{space 1}    3.60{col 58}{space 3}0.000{col 66}{space 4} .2213247{col 79}{space 3} .7525744
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .3771851{col 38}{space 2} .1349454{col 49}{space 1}    2.80{col 58}{space 3}0.005{col 66}{space 4} .1125066{col 79}{space 3} .6418636
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .3517191{col 38}{space 2} .1411251{col 49}{space 1}    2.49{col 58}{space 3}0.013{col 66}{space 4} .0749198{col 79}{space 3} .6285184
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.167389{col 38}{space 2} .5931134{col 49}{space 1}   -3.65{col 58}{space 3}0.000{col 66}{space 4}-3.330707{col 79}{space 3} -1.00407
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 sigma_u {c |} {res} 2.9316906
                 {txt}sigma_e {c |} {res}  1.442565
                     {txt}rho {c |} {res}  .8050738{txt}   (fraction of variance due to u_i)
{hline 25}{c BT}{hline 64}
({res}est8{txt} stored)

{com}.  estadd local  FE  "Yes"

{txt}added macro:
                 e(FE) : "{res:Yes}"

{com}.  estadd local  TE  "Yes"

{txt}added macro:
                 e(TE) : "{res:Yes}"

{com}.  estadd local  CNTL  "Yes"

{txt}added macro:
               e(CNTL) : "{res:Yes}"

{com}.   estadd local  TV  "Yes" 

{txt}added macro:
                 e(TV) : "{res:Yes}"

{com}.  
.  
. 
. 
. *Table with all the control variables
. 
.   *Table with all the control variables
.   esttab using "regression3appendixb.tex", replace f   ///
>  b(2) se(2) ///
>  drop(_cons 2008.year 2009.year 2010.year 2011.year 2012.year 2013.year 2015.year 2016.year 2017.year 2018.year 2019.year 2020.year ) ///
>   star(* 0.10 ** 0.05 *** 0.01) ///
>  label booktabs nomtitle collabels(none) compress alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) ///
>   mgroups("Vote for Radical Right" "Relative Sympathy PVV", pattern(1 0 0 0 1 0 0 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>  scalars( "N Obs."  "rho \$\rho\$" "TE Time FE" "FE Individual FE" "CNTL Controls" "TV Time varying ") sfmt(2)
{res}{txt}(output written to {browse  `"regression3appendixb.tex"'})

{com}. 
.  
. 
. 
.    
.  
. 
.  
.  
. 
.  
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\ev42\Dropbox\Liss\Replication\ReplicationLog.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}15 Jan 2024, 19:01:11
{txt}{.-}
{smcl}
{txt}{sf}{ul off}